Quantitative analyst job description

At Exeter Finance, we are committed to helping customers find the right financing for their next vehicle purchase. By building strong relationships with our customers and network of dealer partners we are able to give options that make sense, getting customers behind the wheel of their car.

Every team member is integral to our success. Whether you're at a servicing center helping customers with their loans, in the field building relationships with dealers, or supporting the company from its corporate offices, you'll enjoy a nurturing, invigorating and positive work environment.

Our vision is to be a premier finance company and lender of choice known for its People, Performance and Service.
Job Description

Job Summary
The Quantitative Modeling Analyst III is responsible for the development and management of credit risk modeling used for loan originations, account management and collections, loan loss forecasting, capital plans, and stress testing. This person will manage credit risk model development and implementation independently and through collaboration with stakeholders throughout the organization.

Job Duties
Develop, modify, maintain, document, and provide high-level support for models used to estimate expected portfolio losses. Includes quantification of Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD).Research and apply enhancements to existing suite of models to improve quality and accuracy of delivered results. Recommend possible changes to assumptions in model drivers.Independently develop and produces analysis related to loan origination, performance and forecasting, to include manipulating and interpreting data, analyzing/identifying trends, and reports findings.Provide econometric modeling and statistical analysis of large-scale auto data sets to identify relationships and trends amount various loss factors.Completes ad hoc projects related to the entire function of credit risk, and summarizes results using verbal, written, and formal presentation techniques.Summarizes analysis and communicates information to various levels of managements.Assist with development of business knowledge and technical skills of lower level analysts.Other duties as required.

Education and Work Experience

· Bachelor's or Master's degree in an applied quantitative field such as Engineering, Economics, Statistics, or Finance, or equivalent work experience.
· Four (4) + years of experience with predictive modeling, including various forecasting techniques such as Logistic Regression, Generalized Linear Models, Decision Trees, Neural Networks, Markov, Multivariate Analysis, and Monte Carlo.
· Experience working with credit data, such as Originations credit policy, Servicing and Collections analytics, and Loss Forecasting / Loan Loss Reserves.
· Strong Programming skills in advanced analytical languages (e.g. SQL, SAS, Python, R)
· Excellent business judgment and risk assessment skills as demonstrated by previous work or academic experience in an analytic role
· Understanding of data sources/warehouses, data mining and data analysis techniques.
· Quantitative skills, with ability to analyze detailed statistics, and summarize findings.
· Understanding of GAAP principles related to loss forecasting and stress-testing, particularly Allowance for Loan Losses (ALL), CECL, SOX, Frank-Dodd, CCAR, and Basel.
· Detail-oriented with ability to manage multiple tasks/deadlines.
· Effective written and verbal presentation skills.
· Ability to adapt to rapid change.
· Proficiency with MS Office products (Excel, Word, PowerPoint, etc.).

Exeter Finance LLC is an Equal Opportunity Employer.

Quantitative Research (QR) is an expert quantitative modeling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modeling and portfolio management. As a global team, QR partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls.
Opportunity


We are looking for an experienced Quant to lead the Quantitative Research team supporting the global Energy business . The QR team's mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals, as well as improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide. We also work closely with trading desks to develop statistical arbitrage strategies and other quantitative trading models.

In addition, we are providing on job training, intensive internal classroom training, and online courses, all given by our experienced quants. Through the diversity of the businesses it supports and the variety of functions that it is responsible for, Quantitative Research group provides unique growth opportunities for you to develop your abilities and your career.

We make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental and physical health needs or particular family considerations.

If you are passionate, curious and ready to make an impact, we are looking for you.


Your Impact

We are a team of front-office quants providing modelling solutions to the Commodities business. Our work combines classical quant finance and data analytics to deliver best-in-class models to the trading desk. It includes:

Developing advanced pricing models and systematic hedging strategies for the Energy business. Implementing these models in our quant library and trading/risk platforms, carrying out testing and writing documentation Working closely with traders to solve problems and identify opportunities


About You


Experience in a front-office derivatives trading environment, preferably in Commodities Experience managing a team of quantitative analysts


JPMorgan Chase & Co., 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 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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the "WELL Health-Safety Rating" for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment.

As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. Employees are expected to follow the Firm's current COVID-19 or other infectious disease health and safety requirements, including local requirements. Requirements include sharing information including your vaccine card in the firm's vaccine record tool, and may include mask wearing. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests as required by applicable law.

Equal Opportunity Employer/Disability/Veterans

First Eagle Alternative Credit (FEAC) is a leading manager of direct lending and tradable credit investment products, with approximately $21 billion of assets under management (as of June 30, 2022). FEAC advises a full range of public and private investment vehicles, including a business development company, interval fund, collateralized loan obligations (CLOs), separately managed accounts and comingled funds. FEAC is the alternative capital platform of First Eagle Investments, an independent, privately owned investment management firm headquartered in New York City with $121 billion of assets under management (as of June 30, 2022). Throughout a heritage that dates to 1864, First Eagle has sought to generate attractive real returns for clients over the long term, a tradition that remains central to our mission today. First Eagle's range of actively managed equity and equity-oriented, public and private credit, multi-asset and alternative strategies reflect our dedication to disciplined and unconventional thinking, a global perspective and the long-term alignment of interests.

What drives us:

At First Eagle, clients come first, always. To deliver on this commitment, it is incumbent upon us to nurture an environment that both attracts, develops and retains a talented, inclusive workforce, and inspires each of our employees to do their life's best work on behalf of our clients. Inherent in this dynamic is a culture that promotes equality, diversity and respect and holds every member of the organization to the highest standards of integrity and accountability.

Who we are looking for:

First Eagle is seeking an Analyst for the Data Analytics team in its Chicago office. The Analyst will be responsible for analytic activities related to First Eagle portfolios and assets, focusing on middle market and direct lending products. The successful candidate will demonstrate high technical expertise, problem-solving skills, the ability to multi-task efficiently with high accuracy, and excellent customer service. Experience with mathematics and data manipulation preferred.

What you will do:

The Associate will be involved in all facets of the quantitative process including, but not limited to:

• Portfolio and asset analytics and reconciliations
• Monitoring and tracking performance metrics and contributions for managed accounts
• Analytic support regarding ongoing and ad-hoc requests
• Providing support to Investment Committee and Portfolio Management teams
• Meeting service level commitments to both internal and external clients
• Establishing and maintaining relationships with company staff as well as external clients

The qualities you should have:

• Strong academic credentials from a top tier school(s); Undergraduate degree with a concentration in business, finance, economics, or mathematics is preferred
• 2 - 5 years of middle market loan experience preferred
• Advanced knowledge of mathematics
• Strong analytical skills required; must demonstrate high degree of comfort dealing data manipulation
• Proficient knowledge of MS Office with an emphasis on Excel
• Excellent written and verbal communication skills
• Strong attention to detail and strong organizational skills
• Team player and proactive personality with an upbeat and positive attitude

The duties and responsibilities described herein are not a comprehensive list. Additional tasks may be assigned to the employee and the scope of the job may change as necessitated by business demands.

First Eagle Investment Management, LLC (FEIM) and First Eagle Alternative Credit, LLC (FEAC) is an Affirmative Action and Equal Opportunity Employer. Equal employment opportunity has been, and will continue to be, a fundamental principle at FEIM/FEAC, where employment is based upon personal capabilities and qualifications without regard to race, color, religious belief (including dress and grooming practices), sex, sexual orientation, gender identity, gender expression, age, national origin, marital status, citizenship, disability, veteran status, pregnancy, breastfeeding or medical conditions related to breastfeeding, status as a victim of domestic violence, sexual assault, or stalking, genetic information or characteristics (or those of