Data Science Manager- Pricing Profitability
About The Position
The Data Science Manger for Profitability Modeling will leverage a strong background in business economics, Statistics, and technology development to deliver models that forecast business performance based on customer data, macro factors and treatment effects for all consumer lending products. The successful candidate will be intellectually curious, and delivery focused, aligning priorities across multiple stakeholders to mathematically model causal relationships that are explainable to business leaders and allow for differentiated decision making across the consumer lending organization.
Requirements
- 6+ years of industry experience leading the design, development, and deployment of pricing models
- Experience being the technical lead for multiple project teams simultaneously
- Previous experience mentoring, training, and developing junior members of the team; experience in employee performance reviews
- Expert understanding of Python and other common languages and the ability to develop and maintain a flexible code base
- Require experience building classic regression and ML models for Credit Cards
- Extensive experience in financial modeling, loss forecasting, utilization, P&L and Cash flow analysis
- Experience with cloud-based ecosystems, including managing on demand compute resources
- Experience in an Agile working environment and related project management tools
- Experience with version control practices and tools (Git, etc.)
- Excellent written and verbal communication skills
Responsibilities
- Perform or lead the performance of exploratory data analysis to understand relationships and opportunities to influence outcomes, while being able to quickly iterate common feature transformation and model types to find the best predictive models
- Develop and document proofs of concept to verify your ideas, including counterfactual explanations for interpretability
- Work closely with Line of Business to make sure that the proposed solution is performing as it should and is correctly understood
- Support model validation and model back testing
- Identify opportunities to apply the latest advancements in pricing theory and ML/AI modeling to build, test, and validate predictive models
- Leverage expertise in both statistical modeling and business financial analysis to move past association and identify causal relationships
- Actively mentor Data Scientists and Junior Data Scientists on good software practices
- Develop and embed automated processes for predictive model validation, deployment, and implementation
- Develop Pricing modeling pipelines and actively contribute high-quality, production-ready code
- Support ad-hoc requests from the line of business by understanding, communicating, and managing model risks
- Create and follow written risk and compliance policies, standards, and procedures for business activities
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees
