Senior Manager, Data Science - CAR CAPITAL CORPORATION

• Assess the impact of proposed credit policy changes using historical data and simulation (before/after impact) analysis. Provide recommendations/alternatives to Sr. Management around proposed policy changes based on impact analysis.     
• Enhance existing credit policy framework/rules by applying statistical analysis techniques including machine learning methods and decision trees/regression/conditional probability analysis on historical data to minimize loss exposure and maximize application conversion/business efficiency.
• Lead development of key statistical modeling initiatives including, but not limited to, credit/application scorecards, cash flow/loss forecasting models, collateral valuation models, behavior/collection scoring models, etc.
• Monitor application trends to isolate areas of opportunity/risk associated with existing automated decision policy/logic.    
• Manage changes to credit policy through internal decision engine change control / deployment process including translation of business rules into implementation/specifications. Independently test the accuracy of deployments in QA environment using both unit testing and batch testing methods.
• Build monitoring/tracking reports which assess the effectiveness of model expectations relative to actual performance.  
• Ability to communicate clearly and liaison/develop strong partnerships with other internal resources to ensure on-time/successful implementation of risk management projects/priorities.
• Translate complex model development code/estimates/methods into clear specifications/requirements for successful implementation into platform workflow technology (i.e., implementation of models outside of statistical software development tool).
• Lead predictive value and cost/benefit assessment of new/alternative data sources from credit bureau and other alternative data vendors.
• Contribute to development/enhancement of corporate enterprise data warehouse (EDW), by analyzing existing variables/measures currently in place as well as developing new variables/measures with significant business insight/value.
• Ability to efficiently/effectively perform other ad-hoc research/analysis as assigned.

• Experience in auto or other consumer lending space required. Experience with non-prime/deep subprime auto lending preferred.
• Minimum 7 to 10 years of working/hands-on experience with statistical model development.
• Expert level technical experience using at least one statistical software tool (R, Python, SAS, etc.).
• Expert technical experience with SQL and ability to independently build datasets for advanced analysis and/or modeling exercise.
• Master’s degree in mathematics, Statistics, Economics/Econometrics, Computer Science, Decision Science, or other related field.  
• Ability to build clear technical model/rule implementation specifications from model development code/process.
• Highly motivated self-starter with the ability to work independently/remotely.
• Experience with credit report data and ability to parse and create custom attributes.
• Strong team player and comfortable interacting with partners across multiple teams and at varying levels of seniority.
• Excellent written and verbal communication skills across all levels and functions.

• Medical, Dental, and Vision coverage
• 401(k) plan
• Paid Time Off (PTO) and paid holidays
• Flexible Spending Accounts (medical & dependent care)
• Life Insurance
• Short-Term and Long-Term Disability Insurance
• Employee Assistance Program

• Pre-Employment Checks: Background check including credit report and employment references (must be favorable).
• Commitment to Diversity: Car Capital is an AA/EEO employer dedicated to equal opportunity and employee diversity.

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