VP/MD Analytics
Core
Lead data science strategy and build foundational ML capabilities to drive growth in auto finance lending and risk management.
Role type
VP/MD Analytics (Data Science Leader)
Builds
Advanced machine learning systems for underwriting, marketing, operations, and risk in auto finance
Domain
FinTech / Banking / Auto Finance
Deliverable
production ML models
Required skills
Strategic planning, team leadership, hands-on ML model development, model risk management, stakeholder influence, statistical analysis, feature engineering, cloud-based ML library usage
Preferred skills
PhD in quantitative discipline, auto finance domain expertise
Technologies
Python, R, open-source ML libraries, cloud environments
Responsibilities
Design and build foundational data science practices and decision-making algorithms; Research and develop new modeling techniques and non-traditional data sources; Recruit, develop, and lead a high-performing data science team; Collaborate with business and technology leaders to maximize ML impact; Partner with Model Risk, Legal, and Compliance to ensure regulatory standards; Independently analyze complex datasets and present strategic conclusions
Seniority
VP/MD level, strategic leadership with hands-on execution