
Data Scientist
2 weeks ago
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.
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