We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. The Ford Motor Credit Company team helps put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to thousands of dealers and millions of customers in over one hundred countries around the world.
In this position...
- We are seeking a visionary and hands-on Risk Analytics Supervisor in our Auto Loan Originations Risk function.
- This is a dual-hat role requiring deep domain expertise in consumer auto credit risk and a robust technical command of modern AI/ML engineering and cloud ecosystems (specifically GCP).
- You will be responsible for incorporating AI/ML in Risk Analytics, and acting as the critical bridge between the Analytics, Risk business unit and IT/Engineering.
- Your primary responsibility is to architect, develop, and deploy next-generation AI-driven risk solutions directly into the our workflow, ensuring scalability, regulatory compliance, and measurable P&L impact.
What you'll do...
- Help to define and execute the long-term analytics roadmap for auto loan originations, balancing predictive accuracy, business profitability, and regulatory constraints
- Champion the adoption of responsible AI/ML to transform our workflow
- Foster a culture of scientific rigor, intellectual curiosity, and business acumen
- Establish best practices for code review, model documentation, and reproducible research
- Act as the primary liaison to IT and Engineering to design the data architecture and MLOps infrastructure required for real-time risk analytics
- Lead the optimization of risk models in modern platforms
- Evaluate and integrate other AI development platforms where appropriate
- Partner with IT for model deployment
- Develop the end-to-end lifecycle of AI solutions, from prototyping novel algorithms to production deployment
- Drive the development of explainable AI (XAI) frameworks to ensure model transparency for Fair Lending and regulatory audits
- Leverage alternative data sources
- Support rigorous model validation, back-testing, and stress-testing frameworks
- Translate complex model outputs into clear strategic narratives for the upper management
You'll have...
- Master’s or PhD in Statistics, Computer Science, Operations Research, Econometrics, or a highly quantitative field
- 6+ years of progressive experience in quantitative risk analytics, with at least 1+ years in a leadership/people-management capacity specifically within auto lending or consumer finance
- Cloud Expertise: Deep, hands-on experience with Google Cloud Platform (GCP) , including data warehousing (BigQuery) and model deployment (Vertex AI). Familiarity with infrastructure-as-code (Terraform) is a plus
- Experience using AI tools to build solutions, e.g. AI tools for scorecard analytics, documentation intelligence, fraud detection.
- IT Collaboration: Demonstrated success in working alongside IT/Engineering to productionize analytics, including experience with APIs, microservices, and containerization
- Programming: Expert-level proficiency in Python (including pandas, scikit-learn, PyTorch/TensorFlow) and SQL
Even better, you may have...
- MLOps: Strong understanding of the ML lifecycle, feature stores, model monitoring (drift detection), and automated retraining pipelines
- Regulatory: Deep knowledge of fair lending regulations, ECOA, and model risk management guidelines
- Experience deploying Generative AI (LLMs) for synthetic data generation or automated credit memo summarization
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
This position is leadership level 6 and ranges from $115,500-$218,100.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: New Hire Benefits
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid
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