Sr Analyst - Quantitative Modeling

General information

# 21695

Remote? No

Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion.

From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?

Reporting to the Director of Quantitative Modeling, this position's primary responsibilities will include the development of loss forecasting, credit scoring, remarketing models, and collection related models that support the originations strategy for Ally’s Auto business line. The ideal candidate will have prior model development experience, strong data management, quantitative, and programming skills. Experience in the financial services industry is desired. This position is based in Charlotte, NC.

Will consider other locations for internal candidates.

• Hands-on development of loss models and credit scorecards used to assess consumer and commercial credit risk using a variety of statistical and machine learning methods.
• Extract and manage data for model development from internal and external databases and providers.
• Monitor performance and support existing models in production, updating periodically as needed.
• Help evaluate third-party data and credit scoring models for internal utilization, as appropriate.
• Support the Model Risk Management validation process for models owned by your team.

• Bachelor's degree in Mathematics, Statistics, Economics, or Engineering. Advanced degree required.
• 3+ years of modeling & analytics experience required
• Advanced knowledge of statistics and quantitative models required
• Strong analytical, communication (written and oral), and interpersonal skills.
• Familiarity with credit bureau data, credit scoring methods and rank-ordering metrics.
• Experience with logistic and linear regression, scorecard methods, time series modeling, and loss forecasting. Knowledge of machine learning is a plus.
• Python, SAS, R or other modeling software or languages.

Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals. But Ally’s total compensation - or total rewards - extends beyond your paycheck and is designed to support and enrich your personal and professional life, including:
* Time Away: competitive holiday and flexible paid-time-off, including time off for volunteering and voting.
* Planning for the Future: plan for the near and long term with an industry-leading 401K retirement savings plan with matching and company contributions, student loan and 529 educational assistance programs, tuition reimbursement, and other financial well-being programs.
* Supporting your Health & Well-being: flexible health and insurance options including dental and vision, pre-tax Health Savings Account with employer contributions and a total well-being program that helps you and your family stay on track physically, socially, emotionally, and financially.
* Building a Family: adoption, surrogacy, and fertility support as well as parental and caregiver leave, back-up child and adult/elder day care program and childcare discounts.
* Work-Life Integration: other benefits including Life Matters® Employee Assistance Program, subsidized and discounted Weight Watchers® program and other employee discount programs.

Ally Financial is a customer-centric, leading digital financial services company with passionate customer service and innovative financial solutions. We are relentlessly focused on "Doing it Right" and being a trusted financial-services provider to our consumer, commercial, and corporate customers. For more information, visit

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