Senior Data Scientist jobs at Citizens Financial Group

As a Principal Data Scientist, you will lead the strategic application of Generative AI across the bank, leveraging Large Language Models (LLMs) to drive innovation, improve operational efficiency, and enhance customer and employee experiences. This role requires deep expertise in NLP, hands-on experience with Generative AI tools, and the ability to guide teams in responsibly integrating these technologies into business processes. Key Responsibilities * Lead the design and implementation of solutions using LLMs and Generative AI tools for complex workflows and processes. * Partner with business, risk, compliance, and technology teams to identify high-impact use cases and ensure responsible AI deployment. * Guide data preparation efforts, including sourcing, cleaning, and structuring data for LLM input and evaluation. * Evaluate model performance, conduct error analysis, and iterate on prompt engineering and fine-tuning strategies where applicable. * Stay ahead of emerging trends in Generative AI and NLP, and assess their relevance to banking applications. * Mentor junior data scientists and contribute to the development of best practices for AI adoption across the organization. * Communicate technical concepts and findings clearly to executive stakeholders, regulators, and cross-functional teams. Qualifications * Required: * 7+ years of experience in data science, machine learning, or applied AI. * Proven experience applying Generative AI and LLMs in production or pilot environments. * Strong proficiency in Python and experience with NLP libraries and frameworks (e.g., LangChain, Autogen, Strands, etc.). * Deep understanding of NLP techniques and their practical applications. * Experience working with unstructured data and integrating AI solutions into business workflows. * Strong communication and leadership skills, including technical writing and stakeholder engagement. * Preferred: * Experience with prompt engineering, model evaluation, and LLM orchestration. * Familiarity with cloud platforms and MLOps tools. * Experience interacting with model validation teams and regulators. Education * Required: Master's or Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Hours & Work Schedule * Hours per Week: 40 * Work Schedule: Monday - Friday * Hybrid: 4 days on site at a Citizens Corporate Office, 1 day remote #LI-Citizens1 Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance. Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information. Benefits We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. View Benefits Awards We've Received Age-Friendly Institute's Certified Age-Friendly Employer Dave Thomas Foundation's Best Adoption-Friendly Workplace Disability:IN Best Places to Work for Disability Inclusion Human Rights Campaign Corporate Equality Index 100 Award Fair360 Top Regional Company FORTUNE's World's Most Admired Companies Military Friendly Employer

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy. You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking "why" and "what if," and challenging assumptions to uncover deeper insights. You demonstrate learning agility, quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions. **Job Responsibilities** + Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects. + Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources. + Translate complex data into clear, actionable insights that inform strategic decisions. + Deliver regular, time-critical, high-impact reports, dashboards, and presentations to Consumer and Community Banking (CCB) Risk leadership. + Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities. + Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership. + Communicate findings and recommendations effectively to business partners across Card, Auto, Home Lending, and Business Banking teams. + Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics. **Required qualifications, capabilities, and skills** + Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services or quantitative experience; alternatively, BS degree with a minimum of 5 years relevant experience. + Strong background in Python and SQL. + Proficient in Microsoft Office suite of products. + Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects. + Ability to synthesize diverse information and develop actionable recommendation. + Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. + Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences. **Preferred qualifications, capabilities, and skills** + MS degree preferred **To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co., will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).** Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans

JobID: 210688363 JobSchedule: Full time JobShift: Day : Are you passionate about leveraging artificial intelligence and machine learning solutions to solve real-world problems? As a Data Science Senior Associate, you'll develop scalable tools that integrate Large Language Models, predictive models and generative AI solutions with the Consumer and Community Bank Anti Money Laundering (AML) and Know Your Customer (KYC) Product. Job Responsibilities: * Design, develop and deploy AI solutions (classical and generative AI) within the Control and Oversight Product suite of applications. * Build and maintain APIs to enable seamless integration of AIML models with business applications. * Use your programming skills in Python and design integrated solutions using the latest technology. * Ensure all solutions are well documented and aligned with firm wide standards for AIML solutions. * Analyze diverse data assets and sources to optimize business decisions, developing insights that lead to actionable recommendations for management. * Build and iterate on prototype solutions. * Develop robust, production-ready code for AIML models and analytical applications. * Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions. * Understand and apply knowledge of role-related risks, keeping abreast of current regulatory requirements and acting in the shareholder's best interest. Ensure alignment with Firm wide policies and standards governing AIML solutions. Required qualifications, capabilities and skills: * Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science). * 5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG). * Strong Proficiency in Python. * Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis. * Proficiency with data table operations (SQL, etc.). * Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx. * Demonstrated knowledge of data architecture that is ideal for generative AI solutions. * Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards.

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy. You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking “why” and “what if,” and challenging assumptions to uncover deeper insights. You demonstrate learning agility, quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions. Job Responsibilities Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects. Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources. Translate complex data into clear, actionable insights that inform strategic decisions. Deliver regular, time-critical, high-impact reports, dashboards, and presentations to Consumer and Community Banking (CCB) Risk leadership. Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities. Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership. Communicate findings and recommendations effectively to business partners across Card, Auto, Home Lending, and Business Banking teams. Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics. Required qualifications, capabilities, and skills Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services or quantitative experience; alternatively, BS degree with a minimum of 5 years relevant experience. Strong background in Python and SQL. Proficient in Microsoft Office suite of products. Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects. Ability to synthesize diverse information and develop actionable recommendation. Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences. Preferred qualifications, capabilities, and skills MS degree preferred To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co., will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).

Leverage your technical expertise to shape innovative solutions and align capabilities to solve real-world challenges! As a Data Science Associate on the Online Investing Data Science Team for US Wealth Management (“USWM”), your ability to blend cross-functional knowledge in Online Investing, financial products, markets, statistics and advanced analytics will be a key to your success. You'll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business. Job Responsibilities: Analyze client, macro-behavioral trends as it relates to Online Investing, financial products and solutions that are offered on JPMorgan's USWM platform Provide analytical support for Online Investing strategy and platform engagement Analyze client behavioral data to inform strategic decision making, including forming, investigating and researching hypotheses, as well as deep-dives into client deepening and retention efforts. Use a variety of data tools and technologies, including industry-standard and open-source platforms, to assemble, organize and analyze data, including Python, R and SQL. Apply statistical, causal inference and machine learning modeling methods and techniques, including clustering algorithms, tree-based models, matching methods and time-series anomaly detection. Present findings to key stakeholders, including senior leaders, across Online Investing, Finance, Legal and Data and Analytics. Required qualifications, capabilities, and skills: 1+ years of experience working in an analytical, data science, finance or management/economic consulting role BS Degree in a related field, such as Mathematics, Statistics, Engineering, Computer Science, Finance, Economics or other applicable STEM discipline Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business Strong storytelling capabilities Aptitude for learning new theory and new technology Preferred qualifications, capabilities, and skills: Masters Degree or PhD Knowledge or demonstrable interest in financial securities and markets Practical understanding of advanced statistics, econometrics and / or machine learning Practical understanding of financial modeling and economics

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Scientist Sr within PNC's Technology organization, you will be based in Pittsburgh, PA, Cleveland, OH, Birmingham, AL or Dallas, TX. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager's discretion. * PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.* Our team delivers high quality solutions by effectively and thoughtfully utilizing the power of AI, facilitating collaboration between business and technical stakeholders to identify and prioritize opportunities. * We equip teams with the skills, tools and environments to manage increasing complexity, enabling their swift action on key business decisions. * We enable AI based automation and data-driven decision making to optimize business processes, enabling teams to focus attention on higher value tasks Key Responsibilities and Experience: * Internal client consultation to elicit and collect requirements, and communicate and align the technical team toward delivery * Machine learning model solution design, build, orchestration and implementation * Experience building solutions with model governance, risk management, and regulatory adherence at top of mind * Substantial experience implementing production AI/ML solutions. * Continuous support of models deployed to production applications * Release planning, coordination, and hands on support throughout release windows * Experience with production implementations that leverage generative AI and LLMs a plus PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description * Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. * Directs the data gathering, data processing and data mining of large and complex datasets. * Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. * Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling. * Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: * Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. * Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Masters Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $65,000.00 - $165,370.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 07/01/2025, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Scientist Sr within PNC's Technology organization, you will be based in Pittsburgh, PA, Cleveland, OH, Birmingham, AL or Dallas, TX. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager's discretion. * PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.* Our team delivers high quality solutions by effectively and thoughtfully utilizing the power of AI, facilitating collaboration between business and technical stakeholders to identify and prioritize opportunities. * We equip teams with the skills, tools and environments to manage increasing complexity, enabling their swift action on key business decisions. * We enable AI based automation and data-driven decision making to optimize business processes, enabling teams to focus attention on higher value tasks Key Responsibilities and Experience: * Internal client consultation to elicit and collect requirements, and communicate and align the technical team toward delivery * Machine learning model solution design, build, orchestration and implementation * Experience building solutions with model governance, risk management, and regulatory adherence at top of mind * Substantial experience implementing production AI/ML solutions. * Continuous support of models deployed to production applications * Release planning, coordination, and hands on support throughout release windows * Experience with production implementations that leverage generative AI and LLMs a plus PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. Job Description * Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. * Directs the data gathering, data processing and data mining of large and complex datasets. * Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. * Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling. * Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: * Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. * Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Masters Certifications No Required Certification(s) Licenses No Required License(s) Pay Transparency Base Salary: $65,000.00 - $165,370.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 07/01/2025, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

JobID: 210689464 JobSchedule: Full time JobShift: : We have an exciting and rewarding opportunity for you to take your Data engineering career to the next level. As a Lead Data Engineer JPMorgan Chase within the Consumer & Community Bank - Branch Workplace Technology team, you serve as a expert Data Engineer on agile teams to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for leading critical data functions from architecture, modelling, transformation, modernization, migration, protection, security and governance in support of CCB Branch initiatives and objectives. Job responsibilities * Deliver end-to-end data solutions on cloud infrastructure leveraging the latest technologies and the best industry practices. * Use domain modelling techniques to allow us to build best in class business products. * Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements * Build solutions that avoid single points of failure, using scalable architectural patterns. * Develop secure code so that our customers and ourselves are protected from malicious actors. * Promptly investigate and fix issues and ensure they do not resurface in the future. * Make sure our releases happen with zero downtime for our end-users and Keeping us up to date by continuously updating our technologies and patterns. * Structure software so that it is easy to understand, test and evolve. * See that our data is written and read in a way that's optimized for our needs. * Keep an eye on performance, making sure we use the right approach to identify and solve problems and ensure our systems are reliable and easy to operate. * Support the products you've built through their entire lifecycle, including in production and during incident management Required qualifications, capabilities and skills * Formal training or certification on data engineering concepts and 5+ years applied experience. * Recent hands-on professional experience as a data engineer * Expertise with Relational databases like Oracle, SQL Server and Postgres * Proficient with AWS cloud technologies and distributed systems * Proficiency with data transformation frameworks and data pipeline orchestration tools * Experience with data governance frameworks * Prior experience with managing large volumes of data and optimizing data processing * Experience in coding with Java or Python programming language and experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.) * Excellent written and verbal communication skills * Understanding of event-base architecture, data streaming and messaging frameworks * Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions. * Manage stakeholders and effectively prioritize work across multiple work streams. Preferred qualifications, capabilities and skills * Experience in working in a highly regulated environment / industry * Understanding of incremental data processing and versioning * Understanding of RESTful APIs and web technologies

The Human Resource Analytics team at Citizens Bank leads the organization's understanding of workforce insights and organizational health. Our team uncovers holistic data-driven business opportunities across the talent lifecycle to enable transformational change and operational efficiency. We analyze internal and external data to understand diverse employee voices, and experiment to scale solutions that make the work experience better. The ideal candidate sees beyond the numbers to find opportunities to strengthen the employee experience and organizational performance. The candidate is a change agent with a demonstrated track record of marrying complex sets of people data with business imperatives to create actionable insights on performance, retention, and organizational agility. The candidate possesses strong quantitative skills, is capable of managing multiple projects simultaneously, and can communicate effectively with executive and technical audiences. An "outside in" perspective, data science skills, high intellectual curiosity, and a consultative posture are essential skills to possess in this role. The HR Data Science Consultant at Citizens Bank will: Key Responsibilities * Synthesize business goals and strategy with HR, productivity, and market data to build integrated, tangible recommendations on talent and culture topics to drive individual and organizational outcomes; employ consultative and analytical techniques to make recommendations, moving from the "so what" and "now what," to drive impact across Citizens'. * Consult with business clients on workplace insights including diagnoses, research design, hypothesis testing, advances analyses, visualization, and presentation. * Translate complex analyses for executive audiences and develop visualizations to help people understand findings and insights * Design and consult on talent assessment methodologies, both internal and third party

We have an exciting and rewarding opportunity for you to take your Data engineering career to the next level. As a Lead Data Engineer JPMorgan Chase within the Consumer & Community Bank - Branch Workplace Technology team, you serve as a expert Data Engineer on agile teams to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for leading critical data functions from architecture, modelling, transformation, modernization, migration, protection, security and governance in support of CCB Branch initiatives and objectives. **Job responsibilities** + Deliver end-to-end data solutions on cloud infrastructure leveraging the latest technologies and the best industry practices. + Use domain modelling techniques to allow us to build best in class business products. + Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements + Build solutions that avoid single points of failure, using scalable architectural patterns. + Develop secure code so that our customers and ourselves are protected from malicious actors. + Promptly investigate and fix issues and ensure they do not resurface in the future. + Make sure our releases happen with zero downtime for our end-users and Keeping us up to date by continuously updating our technologies and patterns. + Structure software so that it is easy to understand, test and evolve. + See that our data is written and read in a way that's optimized for our needs. + Keep an eye on performance, making sure we use the right approach to identify and solve problems and ensure our systems are reliable and easy to operate. + Support the products you've built through their entire lifecycle, including in production and during incident management **Required qualifications, capabilities and skills** + Formal training or certification on data engineering concepts and 5+ years applied experience. + Recent hands-on professional experience as a data engineer + Expertise with Relational databases like Oracle, SQL Server and Postgres + Proficient with AWS cloud technologies and distributed systems + Proficiency with data transformation frameworks and data pipeline orchestration tools + Experience with data governance frameworks + Prior experience with managing large volumes of data and optimizing data processing + Experience in coding with Java or Python programming language and experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.) + Excellent written and verbal communication skills + Understanding of event-base architecture, data streaming and messaging frameworks + Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions. + Manage stakeholders and effectively prioritize work across multiple work streams. **Preferred qualifications, capabilities and skills** + Experience in working in a highly regulated environment / industry + Understanding of incremental data processing and versioning + Understanding of RESTful APIs and web technologies Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans

We have an exciting and rewarding opportunity for you to take your Data engineering career to the next level. As a Lead Data Engineer JPMorgan Chase within the Consumer & Community Bank - Branch Workplace Technology team, you serve as a expert Data Engineer on agile teams to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for leading critical data functions from architecture, modelling, transformation, modernization, migration, protection, security and governance in support of CCB Branch initiatives and objectives. Job responsibilities Deliver end-to-end data solutions on cloud infrastructure leveraging the latest technologies and the best industry practices. Use domain modelling techniques to allow us to build best in class business products. Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements Build solutions that avoid single points of failure, using scalable architectural patterns. Develop secure code so that our customers and ourselves are protected from malicious actors. Promptly investigate and fix issues and ensure they do not resurface in the future. Make sure our releases happen with zero downtime for our end-users and Keeping us up to date by continuously updating our technologies and patterns. Structure software so that it is easy to understand, test and evolve. See that our data is written and read in a way that's optimized for our needs. Keep an eye on performance, making sure we use the right approach to identify and solve problems and ensure our systems are reliable and easy to operate. Support the products you've built through their entire lifecycle, including in production and during incident management Required qualifications, capabilities and skills Formal training or certification on data engineering concepts and 5+ years applied experience. Recent hands-on professional experience as a data engineer Expertise with Relational databases like Oracle, SQL Server and Postgres Proficient with AWS cloud technologies and distributed systems Proficiency with data transformation frameworks and data pipeline orchestration tools Experience with data governance frameworks Prior experience with managing large volumes of data and optimizing data processing Experience in coding with Java or Python programming language and experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.) Excellent written and verbal communication skills Understanding of event-base architecture, data streaming and messaging frameworks Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions. Manage stakeholders and effectively prioritize work across multiple work streams. Preferred qualifications, capabilities and skills Experience in working in a highly regulated environment / industry Understanding of incremental data processing and versioning Understanding of RESTful APIs and web technologies

Are you a skilled data professional with a passion for transforming raw data into actionable insights and a proven track record of learning and implementing new technologies? The Finance Data & Insights Team is an agile product team responsible for the development, production, and transformation of financial data and reporting across Consumer Community Banking. Our vision is to enhance the lives of our people and increase the firm's value by leveraging data and advanced tools to analyze information, generate insights, save time, improve processes and controls, and lead the organization in developing future-ready skills. As a Data Domain Architect Senior Associate in the Consumer Community Banking Finance Data & Insights Team, you will assist in the development, testing and on-going maintenance of finance data products for the Business Banking line of business. You will focus on understanding data requirements, developing proof of concept data against requirements, comparing data sources, testing solutions, as well as preparing ad hoc analysis for our CFO (Chief Finance Officers) stakeholders. The type of data covered is everything from BB (Business Banking) Field scorecard data (how we measure all business banking field personnel performance) to lending data (e.g. originations and funded loans) to Deposits (new and lost accounts, associated cash management services, revenue earned), etc. Job responsibilities Work closely with the business stakeholders/analysts to understand reporting requirements and functional needs. Translate business requirements into prototype solutions for new/enhancement requests, Provide a high level of responsiveness to ad-hoc requests. Ability to understand broad business questions and determine the data that will help answer/give insights to the business question, perform “what-if” scenario data analytics, and regulatory inquiries. Work closely with end-users/data product owners during the UAT phase of the project and perform testing to ensure new functionality meets end user requirements. Validate that production results comply with business requirements and expected results. Work with end users and the Business Intelligence team to develop and implement standard reporting solutions in support of Business Banking Finance. Support BAU operating model for Business Banking Field scorecard requests including loading of user data and investigation of banker questions. Required qualifications, capabilities, and skills 5+ years of total experience within MIS, Business Intelligence, and/or Analytics roles Must be proficient in SQL query writing. Demonstrated knowledge of data warehousing concepts and exposure to one or more Business Intelligence toolsets and database platforms: AWS or Databricks, Oracle/SQL Server/Teradata, Cognos/BO, or SAS/R. Must be proficient with analysis in Excel including but not limited to Pivot, Vlookup, trend analysis etc. Must be proficient in one or more data & business intelligence concepts including ETL, Data Modeling, Reporting Automation, and/or Dashboarding. Self-starter, team player, good communication skills, be proactive in asking help when needed Ability to take cues/guidance and solve problems independently Strong attention to detail with ability to understand and communicate bigger picture Preferred qualifications, capabilities, and skills Databricks or AWS Cloud Experience Experience with Agile development framework Knowledge of Business Banking, Deposit Products, and or Cash Management products.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology Employee Platform team, you play a vital role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives. **Job responsibilities** + Execute creative software and data solutions, including design, development, and technical troubleshooting, by thinking beyond routine approaches to build solutions or break down technical problems. + Develop secure, high-quality production code and data pipelines, reviewing and debugging processes implemented by others. + Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems. + Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs and technical credentials. + Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications. + Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput. + Implement data quality checks and validation processes to ensure accuracy and reliability of data. + Design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics. + Share and develop best practices with Platform and Architecture teams to improve data pipeline framework and modernize the workforce data analytics platform. + Gather, analyze, and synthesize large, diverse data sets to continuously improve capabilities and user experiences, leveraging data-driven insights. + Contribute to software engineering communities of practice and events that explore new and emerging technologies, fostering a culture of diversity, opportunity, inclusion, and respect. **Required qualifications, capabilities, and skills** + Formal training or certification on **software engineering** concepts and 5+ years applied experience + 7+ years in data engineering, including design, application development, testing, and operational stability. + Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services like EMR, Athena, and Redshift. + Proficiency in programming languages like Python, Java, or Scala for data processing and application development. + Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control. + Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security. + Demonstrated proficiency in software applications and technical processes within technical disciplines like cloud, artificial intelligence, machine learning, and mobile. + In-depth knowledge of the financial services industry and their IT systems. + Proficiency in database management and data modeling, working with relational databases like Oracle or SQL Server. Skilled in writing SQL queries for efficient data management and retrieval, utilizing SQL tools such as DML for data handling, DDL for schema management, and PL/SQL for procedural extensions in Oracle databases. + Experience with scheduling tools like Autosys to automate and manage job scheduling for efficient workflow exec JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. **Job Responsibilities** + Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. + Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. + Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. + Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. + Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. + Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. + Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. + Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. **Required Qualifications, capabilities and skills** + Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. + Proficiency in SQL, Python, and PySpark. + Hands-on experience with data lake platforms (Databricks, Spark, or similar). + Strong understanding of data quality, security, and lineage best practices. + Experience with cloud-based data warehouse migration and modernization. + Excellent problem-solving and troubleshooting skills. + Strong communication and documentation abilities. + Ability to collaborate effectively with business and technical stakeholders. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

JobID: 210688620 JobSchedule: Full time JobShift: : Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities * Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. * Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. * Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. * Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. * Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. * Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. * Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. * Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. Required Qualifications, capabilities and skills * Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. * Proficiency in SQL, Python, and PySpark. * Hands-on experience with data lake platforms (Databricks, Spark, or similar). * Strong understanding of data quality, security, and lineage best practices. * Experience with cloud-based data warehouse migration and modernization. * Excellent problem-solving and troubleshooting skills. * Strong communication and documentation abilities. * Ability to collaborate effectively with business and technical stakeholders.

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Corporate Technology - FINTECH team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way Implements database back-up, recovery, and archiving strategy Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience 3+ years of experience using technologies such as Databricks , Pyspark, AWS, is essential and creating ETL Pipeline from scratch is a must. 3+ years of experience working with AWS (Lambda, Step Function, SQS, SNS, API Gateway, secrets manager and storage services) is a must. 3+ years of experience in software engineering and object-oriented programming skills with expertise in Python and Terraform Hands on experience with open-source frameworks/libraries, such as Apache NiFi, Apache Airflow and Autosys. Strong understanding of REST API development using FASTAPI or equivalent frameworks. Advanced at SQL (e.g., joins and aggregations) Preferred qualifications, capabilities, and skills Familiar with development tools such as Jenkins, Jira, Git/Stash, spinnaker Familiarity with unit testing frameworks such as pytest or unittest. Extensive experience in statistical data analysis, with the ability to select appropriate tools and identify data patterns for effective analysis, as well as experience throughout the data lifecycle JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team As a Data Engineer III at JPMorganChase within the Corporate Technology team, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Development on Oracle Databases. Creates logical and physical data models based on new use cases. Creates all types of DB objects in Oracle DB, to support application development. Uses SQL and PL/SQL to query and data transformations. Performance Tuning. Supports review of controls to ensure sufficient protection of enterprise data Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on data engineering concepts and 3+ years applied experience Proficiency in Oracle SQL, PL/SQL, development and performance tuning. Advanced at SQL (e.g., analytical functions and aggregations) Experience across the data lifecycle Strong understanding of data modeling, normalization, and database design principles. Deep understanding of Oracle architecture, partitioning. Experience in working with Oracle metadata tables and dynamic performance views for advanced database development, monitoring, and optimization. Preferred qualifications, capabilities and skills Working knowledge of Oracle Enterprise Manager (OEM), Active Session History (ASH), and Automatic Workload Repository (AWR) for database monitoring, performance analysis, and troubleshooting. Working understanding of NoSQL databases Familiarity with data warehousing concepts, data lakes and data lake-houses, and business intelligence tools. Familiarity or working knowledge of Databricks for big data analytics and Vector Databases for AI/ML applications is a plus. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. Required Qualifications, capabilities and skills Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. Proficiency in SQL, Python, and PySpark. Hands-on experience with data lake platforms (Databricks, Spark, or similar). Strong understanding of data quality, security, and lineage best practices. Experience with cloud-based data warehouse migration and modernization. Excellent problem-solving and troubleshooting skills. Strong communication and documentation abilities. Ability to collaborate effectively with business and technical stakeholders.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology Employee Platform team, you play a vital role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives. Job responsibilities Execute creative software and data solutions, including design, development, and technical troubleshooting, by thinking beyond routine approaches to build solutions or break down technical problems. Develop secure, high-quality production code and data pipelines, reviewing and debugging processes implemented by others. Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems. Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs and technical credentials. Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications. Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput. Implement data quality checks and validation processes to ensure accuracy and reliability of data. Design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics. Share and develop best practices with Platform and Architecture teams to improve data pipeline framework and modernize the workforce data analytics platform. Gather, analyze, and synthesize large, diverse data sets to continuously improve capabilities and user experiences, leveraging data-driven insights. Contribute to software engineering communities of practice and events that explore new and emerging technologies, fostering a culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience 7+ years in data engineering, including design, application development, testing, and operational stability. Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services like EMR, Athena, and Redshift. Proficiency in programming languages like Python, Java, or Scala for data processing and application development. Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control. Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security. Demonstrated proficiency in software applications and technical processes within technical disciplines like cloud, artificial intelligence, machine learning, and mobile. In-depth knowledge of the financial services industry and their IT systems. Proficiency in database management and data modeling, working with relational databases like Oracle or SQL Server. Skilled in writing SQL queries for efficient data management and retrieval, utilizing SQL tools such as DML for data handling, DDL for schema management, and PL/SQL for procedural extensions in Oracle databases. Experience with scheduling tools like Autosys to automate and manage job scheduling for efficient workflow exec