Data Scientist

As a Data Scientist – Risk at CARS24, you’ll drive credit risk and fraud modeling. We need 10+ years’ Data Science experience, strong Python skills, and expertise in Financial Services, Fintech, NBFC, Insurance, or Loans.

What will you drive?

• Design and implement advanced risk and credit models for loans, insurance, and financial products.
• Develop and deploy fraud detection, credit scoring, and portfolio monitoring frameworks.
• Analyze large-scale structured and unstructured datasets to identify early risk signals.
• Collaborate with business, product, and lending teams to design data-driven risk strategies.
• Automate dashboards and reporting to deliver actionable insights to leadership.
• Ensure compliance with regulatory requirements and industry best practices in risk modeling.
• Mentor junior team members and drive best practices in data science for risk.

Who are we looking for?

• 10+ years of experience in Data Science with strong focus on Risk/Credit Risk analytics.
• Proven experience in Financial Services, Fintech, Insurance, Loans, or NBFCs.
• Expert hands-on skills in Python (must-have), with proficiency in SQL, R, or other tools.
• Deep understanding of machine learning, predictive modeling, and statistical methods.
• Strong knowledge of credit risk, fraud analytics, underwriting, and portfolio management.
• Excellent analytical, problem-solving, and stakeholder management skills.
• Track record of building scalable, high-impact risk models in a fast-paced environment.