Director - Data Science - Credit Risk - FinTech

Exp: 5 - 15 Years

- The ideal candidate will have strong technical skills combined with the ability to distill down complex financial concepts into simple narratives. You will have an in-depth understanding of credit, risk, collections and are adept at building and deploying policies, models, and metrics. Lastly, you enjoy building - you enjoy partnering cross-functionally to drive core credit, risk, collection initiatives including risk appetite, portfolio diversification, and risk-based pricing.

- Unsecured lending, fintech, underwriting, familiarity with lending, should be hands-on, Alternative lending, cashflo underwriting, loss prediction,

- Elite ability and passion to use math and logic to solve problems

- 3+ years of relevant experience within credit, risk, collections management, ideally at a high-growth technology and/or financial services company.

- 3+ years of experience in building predictive models (Application Scorecard, Behaviour Scorecard, Collection Score Card, Loan Pricing, Loss Forecasting, Cross-Sell Model)

- Strong experience in leading credit risk model development, validation, deployment, and documentation

- Analytically oriented with the ability to grasp complex risk management strategies, processes, models and draw insights / identify areas of opportunity

- Adept at using Jupyter Notebook & Python

- Strong understanding of ML libraries and applications

- Outstanding presentation skills

- Strong communication skills - ability to clearly and succinctly communicate technical subject matter to other team members and Senior Management team

- Strong interpersonal skills - collaborate with people across functions and develop a strong relationship