
Senior Data Scientist
4 weeks ago
The successful candidate will lead a team responsible for the design, development, and monitoring of credit risk strategies, working closely with stakeholders across product, finance, data science, and compliance
Responsibilities:
- Lead credit risk analytics for secured lending products across origination, portfolio management, and collections.
- Drive development and ongoing refinement of credit policy frameworks and lending criteria.
- Evaluate new frameworks/tools needed for Risk management and well as Business expansion
- Monitor portfolio performance, identify emerging risk trends, and lead the development of mitigation strategies.
- Provide insights to senior leadership on risk appetite, portfolio quality
- Collaborate with data engineering to ensure robust data infrastructure and analytics capability.
- Evaluate the impact of new products or policy changes on portfolio risk and performance.
- Manage, mentor, and grow a team of credit analysts and risk modelers.
- Evaluate usecases of AI to drive productivity internally in the team and externally for stakeholders
Required Experience:
- Bachelor's or Master's degree in a quantitative field (e.g., Economics, Statistics, Mathematics, Finance, Engineering).
- Strong proficiency in SQL, Python, SAS, R, or similar analytical tools.
- 4+ years of relevant experience in credit risk management or analytics
- Proven experience with credit policy design, risk modeling, and portfolio monitoring in a lending institution or fintech environment.
- Understanding of credit lifecycle, secured asset management, and loan loss provisioning is good to have
- Experience leading cross-functional teams and managing stakeholder relationships.
- Strong communication and presentation skills, with the ability to influence senior leadership.
- Experience in MnA, Direct Assignment and Co-lending will be an advantage
Job Location : Kurla / Bangalore
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