Senior Data Scientist

About Company,

CreditSea is an India-based financial services company that helps people get quick, reliable access to funds when they face urgent financial needs. We offer fast, secure loan solutions with clear terms and personalised support, and we aim to make the journey from application to disbursement simple and seamless. Transparency, integrity, and a customer-first approach guide everything we do, backed by strict data security standards. Our mission is to empower individuals during financial emergencies and make financial assistance more accessible and trustworthy.

Senior Data Scientist

• The ideal candidate should possess a minimum of 5 - 10 years of experience in Indian fintech / banking domain, with a strong focus on statistical / machine learning modeling and data science initiatives related to credit underwriting, collections, sourcing, etc. for unsecured short-term personal loans. Expertise in leveraging diverse data sources, including credit bureau, banking, and alternative data, is essential.
• The individual will also be responsible for the development, validation, deployment, and productionalization of key models, including (but not limited to) Probability of Default (PD), Reject Inference, Income Estimation, Propensity Models in Sourcing, Collections, etc.
• The role will also involve leading the integration of the aforementioned models into real-time decisioning systems, ensuring robust monitoring frameworks, alerts, and triggers are established to proactively identify model performance degradation, operational risks, and production issues.

A key responsibility will be ensuring adherence to the Reserve Bank of India (RBI) Model Risk Management guidelines, including:

• Comprehensive model documentation
• Governance and validation processes
• Regular model monitoring and performance tracking
• Periodic model reviews and recalibration
• In addition, the candidate will be expected to evaluate and onboard third-party data and analytics solutions that provide orthogonal predictive insights, thereby enhancing the predictive power and effectiveness of the organization's modeling framework.
• The successful candidate will combine deep technical expertise with strong business acumen to drive data-driven decisions & sustainable portfolio growth.