Ford Pro · 2 hours ago
Analytics Scientist
6000 Mercury Dr, Dearborn, MI, 48126, US
Full-time
Hybrid
Mid, Senior Level
$114K/yr - $190K/yrFord Pro is a part of the Ford Motor Company, dedicated to building a better world. They are seeking a highly motivated Analytics Scientist to develop and maintain advanced statistical models for credit loss forecasting, collaborating closely with various business units to ensure model soundness and compliance with regulatory requirements.
AutomotiveFleet ManagementSoftware
No H1B
Responsibilities
Research, develop, validate, and implement advanced statistical and quantitative models for credit loss forecasting (PD, LGD, EAD) at various levels of granularity (e.g., segment, portfolio)
Explore, evaluate, and apply innovative modeling techniques, including machine learning and artificial intelligence methods, alongside traditional econometric and statistical approaches
Analyze complex credit performance data, portfolio characteristics, and macroeconomic trends from diverse data sources and platforms
Enhance and maintain existing credit loss models throughout their lifecycle, ensuring performance, stability, and adherence to model governance standards
Collaborate closely with partners in Risk Management, Finance, Accounting, and other business units to understand modeling needs, communicate model capabilities and limitations, and explain forecasting results
Translate complex quantitative analyses, modeling methodologies, and results into clear, concise, and actionable insights for both technical and non-technical audiences, including senior leadership
Support regulatory requirements related to credit loss forecasting, such as ECL/CECL (Expected Credit Loss/Current Expected Credit Loss) and stress testing, by ensuring model soundness and comprehensive documentation
Conduct ad-hoc quantitative analysis to support portfolio performance monitoring, risk assessment, and strategic initiatives
Develop and maintain comprehensive model documentation in accordance with internal policies and regulatory expectations
Qualification
Required
Master's degree in a quantitative field such as Statistics, Economics, Mathematics, Operations Research, Data Science, Computer Science or a related discipline
Demonstrated experience in developing and implementing statistical or quantitative models, preferably in a financial services or credit risk environment
Strong proficiency in traditional statistical modeling techniques (e.g., linear and non-linear regression, time series analysis, panel data models, survival analysis, multivariate techniques)
Proven knowledge of Machine Learning and Artificial Intelligence concepts and techniques relevant to quantitative modeling problems (e.g., classification, regression, time series forecasting with ML/AI methods)
Experience with statistical modeling software (e.g., SAS is highly preferred; proficiency in Python or R with relevant statistical/ML libraries is also valuable)
Experience querying and manipulating large datasets using SQL
Solid analytical, problem-solving, and creative thinking skills with the ability to formulate problems and propose innovative solutions
Excellent written and verbal communication skills, with the ability to effectively translate complex quantitative concepts into business terms
Preferred
Experience specifically in auto finance or banking credit risk modeling (PD, LGD, EAD)
Experience with model validation processes, model governance, and regulatory requirements (e.g., CECL, stress testing)
Experience applying specific ML/AI algorithms (e.g., Gradient Boosting Machines, Neural Networks, Ensemble Methods) to credit risk or time series forecasting
Experience with data visualization tools (e.g., Qlik sense, Tableau, Power BI, Alteryx)
Experience working with large-scale data platforms (e.g., Google cloud platform or other cloud-based data warehouses)
Highly analytical, detail-oriented, and intellectually curious
Ability to work independently with minimal supervision and manage multiple projects simultaneously
Proactive, team-oriented, and open-minded with a strong desire to learn and adapt to new techniques
Strong collaboration skills and ability to build relationships with cross-functional partners
Benefits
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.
Company
Ford Pro
Ford Pro is a productivity accelerator designed to drive the business forward, delivering solutions to commercial customers of all sizes.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Andrew Frick
Interim Head
Recent News
2025-10-04
2025-10-01
Company data provided by crunchbase