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A leading financial services company in Charlotte is seeking a Quantitative Modeling professional to develop loss forecasting and credit scoring models. The ideal candidate will have strong analytical skills, programming knowledge, and experience in model development. This role offers competitive compensation and a supportive work environment focused on employee well-being.
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?
Work Schedule:Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need.
Reporting to the Director of Quantitative Modeling, this position's primary responsibilities will include the development of loss forecasting and credit scoring 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. This position is based in Charlotte, NC.
· Bachelor's degree in Mathematics, Statistics, Economics, or Engineering. Advanced degree required.
· 5+ years of modeling & analytics experience required
· Advanced knowledge of statistics and quantitative models.
· 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. Our Total Rewards program includes industry-leading compensation and benefits plus additional incentives that are designed to meet your needs and those of your family so you can get the most out of your career and your life, including:
Who We Are:
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 www.ally.com.
Ally is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity or expression, pregnancy status, marital status, military or veteran status, genetic disposition or any other reason protected by law.
We are committed to working with and providing reasonable accommodation to applicants with physical or mental disabilities. For accommodation requests, email us at hrpolicy@ally.com. Ally will not discriminate against any qualified individual who is capable of performing the essential functions of the job with or without reasonable accommodation.
Base Pay Range: $110000 - $180000 USD
An individual's position in the range is determined by the specific role, the scope and responsibilities of the role, work experience, education, certification(s), training, and additional qualifications. We review internal pay, the competitive market, and business environment prior to extending an offer.
Incentive Compensation: This position is eligible to participate in our annual incentive plan.