Manager,CreditStrategyandDataScience

**_Job Description_** **What is the Opportunity?** As part of the Group Risk Management (GRM) – Credit Strategy team, the Credit Strategy and Data Science Manager role will analyze, design, optimize and implement solutions to enable real-time decision making for the retail lending businesses. The team specializes in leveraging large data sets to generate insights and make fact-based decisions on how to profitably grow loan originations by balancing risk, pricing, operational efficiency and customer impact. The role employs a range of leading-edge technologies and capabilities, applying machine learning and statistical techniques, to build predictive behavioral models and credit strategies. **What will you do?** * Develop quantitative credit risk metrics and tools to help manage, measure, and monitor credit risk. * Use empirical, statistical and machine learning techniques to build financial models to simulate financial outcomes of strategy decisions, measure true outcomes against expectations and drive continuous improvement from findings * Design automated credit strategies to improve real-time adjudication and the quality and consistency of manual adjudication. * Support the implementation and ongoing integrity of credit strategies within appropriate systems * Engage cross-functional stakeholders across Product, Sales, Operations and Risk Management. * End-to-end project management, from idea conception, solution design, stakeholder buy-in to implementation and monitoring. **What do you need to succeed?** **Must-have** * Bachelor or Master’s degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or other quantitative field of study. * Expert critical thinker and problem-solver * Proficient in Excel, SQL and Python and code management best practices * Proven experience in delivering high quality and accurate work with the ability to multitask and managing priorities * Effective and conversant in both business and technical communications **Nic