Credit Strategy Manager - Auto Finance

This is an exciting opportunity to join the Auto Finance Analytics team of a major financial services institution, where you will drive significant business results through innovative credit strategies. The successful candidate will lead key analytical projects contributing to the innovation, creation, and launch of value-adding products that leverage extensive internal and external data resources.

The role offers exposure across various critical Auto Analytics functions, including:

Credit Risk Management

Pricing Optimization

Portfolio Valuations

Dealer/Channel Analytics

As a key member of the team, you will combine your deep business acumen with advanced analytical skills to develop strategies designed to manage risk, drive profitable growth, and increase overall portfolio value. You will be instrumental in creating best-in-class frameworks based on supporting research, including customer segmentation, competitive analysis, underwriting model incorporation, and historical performance deep dives.

• Strategy Development & Execution: Design, recommend, document, and execute consumer underwriting, product, channel, and/or customer experience strategies to enhance the lending portfolio's performance.
• Data Analysis & Modeling: Utilize advanced analytic and data query tools (e.g., SAS, SQL, Python) to build, test, evaluate, and maintain robust data analysis and reporting for informed management decision-making.
• Strategic Insights: Analyze data, create, and validate assumptions that feed into volume growth and profitability strategies. Draw clear conclusions and provide actionable recommendations for developing or modifying existing strategies.
• Cross-Functional Collaboration: Partner with business leaders to define priorities, align resources, and clearly communicate progress and strategic insights to executive leadership.
• Technology & Roadmaps: Contribute to strategy implementation, competitive intelligence, and performance monitoring, including supporting technology roadmap development.
• Talent Development: Elevate team capabilities and culture through mentoring, coaching, and collaboration with other associates.

- Education: Bachelor's Degree in a quantitative discipline, such as Engineering, Statistics, Economics, Data Analytics, or Computer Science.

- Minimum of 4+ years of professional experience in a data-driven analytics environment, or 2+ years combined with a relevant Master's or PhD degree.

- Demonstrated experience driving complex analytical projects and effectively presenting results and ideas to senior management.

- Advanced analytical skillset using tools like SQL and SAS/Python/R is required.

- Mindset: Innovative, capable of developing a highly analytical approach to problem-solving, and a proven ability to lead initiatives across multiple disciplines.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.