Earnest Research jobs

Our mission is to make higher education accessible and affordable for everyone. We empower students with financial support and supercharge their ability to pay down their debt, so they can get on the right financial track, fast. We build tools that help people feel in control of their financial future, including: Private student loans - low rates, people-first service, and flexible payments. Student loan refinancing - break free from high-interest rates or monthly payments. Scholarships - access to thousands of scholarships to help students pay less. Earnies are committed to helping students live their best lives, free from the stress of student debt. If you're as passionate as we are about our mission, read more below, and let's build something great together! The Senior Risk Analytics Manager will report to the Head of Credit Risk. As the Senior Risk Analytics Manager, you will: Ensure credit policies are appropriately designed, implemented, and updated to manage risk in alignment with the company's risk appetite. Ensure adherence to regulatory requirements, internal risk management frameworks, and corporate governance standards related to credit practices. Partner with the Data Science team to develop and maintain loss forecasting models for the various lending portfolios generated by Earnest. Incorporate macroeconomic conditions in the forecast and partner with strategy owners to apply quantitative and qualitative overlays as needed. Independently validate models to ensure they are conceptually sound and perform as intended. Maintain comprehensive model risk management policies, procedures, and standards in line with regulatory expectations. Conduct monthly monitoring of loan performance for each of our loan products at vintage and portfolio levels. Present results with insights on trends and drivers. Communicate forecast results, insights, and recommendations to leadership and business partners. Develop modeling and diligence materials to support the execution of business transactions and provide analysis results to management, investors, and external ratings agencies. About You: 7+ years of experience in developing or validating risk or loss forecasting statistical models, and credit analytics 5+ years of experience in SQL and/or Python programming for data analysis and model development Strong business acumen in lending products and sophisticated risk data analysis In-depth understanding of model risk governance frameworks A proven track record of delivering strong business results in a matrix environment through ownership, innovation, collaboration, and influence Excellent communication and presentation skills Knowledge of applicable laws and regulations governing the lending industry Experience in Business Intelligence / Reporting tools such as Looker or Tableau Even Better: Strong SQL and Python skills to pull data, conduct data analysis, and develop risk or loss forecast models Expertise in statistical models Expertise in Excel and Google Slides Strong verbal and written communication and presentation skills; ability to create clear and concise documentation and explain methodologies and findings to business partners Ability to prioritize and multitask on various projects Ability to methodically execute complex analytical processes accurately and efficiently Intellectual curiosity, critical thinking, and problem-solving skills Willingness and interest in independently learning and researching new or better possible ways to solve analytical problems or achieve business goals Strong ownership and ability to collaborate well with business partners Where: This role will be based in the US. #LI-KB1 A little about our pay philosophy: We take pride in compensating our employees fairly and equitably. We are showcasing a range of your potential base salary based on the roles location. The successful candidate's starting pay will also be determined based on job-related qualifications, internal compensation, candidate location and budget. This range may be modified in the future. Pay Range $180,000-$225,000 USD Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits, including: Health, Dental, & Vision benefits plus savings plans Mac computers + work-from-home stipend to set up your home office Monthly internet and phone reimbursement Employee Stock Purchase Plan Restricted Stock Units (RSUs) 401(k) plan to help you save for retirement plus a company match Robust tuition reimbursement program $1,000 travel perk on each Earnie-versary to anywhere in the world Competitive days of annual PTO Competitive parental leave What Makes an Earnie: At Earnest, our people bring our cultural principles to life. These principles define how we work, how we win, and what we expect of ourselves and each other: Every Second Counts: Speed is our competitive advantage. Our customers need better solutions, and the faster we execute, the greater our chance of success. Choose To Do Hard Things: We win by tackling the hard things that others avoid, fueled by grit and resilience. Pursue Excellence: Great companies, teams, and individuals never settle and are proud of the work that they do. What's good enough today won't be good enough tomorrow. Excellence isn't a destination; it's a mindset of continuous improvement. Lead Together: Our success comes from how we work together. Leadership is not about titles-it is about action. We take ownership, drive results, and move forward as a team. Don't Take Yourself Too Seriously: We take our work seriously, not ourselves. The stakes are high, but a sense of humor keeps us grounded, creative, and resilient. At Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for. Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status, disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.