Role Description:
We are looking for a Manager – Data Science to lead a team of data scientists in developing
machine learning models, optimizing lending strategies, and improving risk assessment
frameworks. The ideal candidate should have strong analytical skills, fintech experience, and
expertise in statistical modeling and machine learning techniques.
Key Responsibilities:
• Lead and mentor a team of data scientists to solve complex business
problems.
• Develop and optimize credit risk models, fraud detection algorithms, and
customer segmentation strategies.
• Work closely with Product, Risk, and Business teams to drive data-driven
decision-making.
• Implement machine learning algorithms (e.g., classification, regression,
clustering, NLP) to enhance underwriting and lending decisions.
• Monitor model performance, retrain models, and improve predictive
accuracy.
• Ensure compliance with RBI regulations and data privacy laws while handling
customer data.
Qualifications:
• 5+ years of experience in Data Science.
• Strong hands-on experience with Python, R, SQL, and ML libraries (Scikit-learn,
XGBoost).
• Expertise in credit risk modeling, fraud detection, and predictive analytics.
• Experience with cloud-based ML model deployment and big data tools.
• Understanding of lending, credit scoring, and RBI regulatory frameworks is a
plus.
• Strong problem-solving skills with the ability to translate business challenges
into data-driven solutions.