Lead Data Scientist

Job Description

You will be responsible for building credit risk models, driving underwriting and credit decisions, and ensuring optimization across risk, pricing and business growth. You’ll play an important role in shaping our lending products and processes, ensuring they are built on a solid foundation of prudent risk management.

Credit Decisioning: Leverage or build advanced credit risk models (functional rule based / heuristics and machine learning models) and lead critical credit decisions
Team Collaboration: Provide effective credit oversight to colleagues leading our credit teams
Risk Strategy Development: Develop, implement, and monitor risk strategies across credit underwriting, limit assessment, pricing, and collections
Policy Development: Assist in drafting a detailed risk policy for the business loan business and closely monitor the adherence of the same.
Data Utilization: Work extensively with Credit Bureau, Bank statement, financial data. Identify and evaluate alternate data features to explore credit expansion opportunities
Team Development: Coach and mentor younger team members to create a world-class credit team both in functional credit analysis and machine learning based models
Reporting and monitoring Systems: Drive robust monitoring and alerting systems for early warning signals of delinquencies in the portfolio, ensuring agility in decision-making. Perform Root cause analysis and present those to stakeholders in a timely fashion
Underwriting: End-to-end underwriting analysis of core business including risk selection, primarily simple costing, contracts review and structuring; incorporating and improving relevant technology to make informed decisions Grow the core business by developing opportunities in the portfolio in collaboration with relevant specialists
Regulatory Compliance: Ensure that all risk models and pricing strategies comply with relevant regulations and industry standards. Stay updated on regulatory changes and adjust strategies

You Should Apply If:

Risk professional bank/NBFC with experience across retail-individual and retail business (micro businesses) underwriting / fraud /risk / collection
Strong hands-on experience and expertise in building Machine Learning based underwriting statistical models
Deep domain / functional knowledge in credit underwriting / credit analysis
Proven experience in underwriting risk management in the fin-tech or financial services industry, with a focus on credit risk.
Strong knowledge of fin-tech products, unsecured lending products, services, and technologies, as well as the regulatory landscape governing the industry.
Experience in Product and Credit Policy formulation, Collections and Recovery, Fraud and Operational Risks.
Exceptional analytical and problem-solving skills, with the ability to assess complex situations and make sound decisions.
Strong leadership capabilities with the ability to build and lead a high performing risk management team
Excellent Analytical and Data Science capabilities