We are looking for a Quantitative Decision Scientist to help build the statistical foundation of EarlySafe, our Enterprise Decision Intelligence platform for banks and NBFCs. You will design explainable statistical models, interpreters, and decision engines that transform lending data into actionable risk intelligence.

Key Responsibilities

- Design statistical indicators for credit, collections, GST, and portfolio risk.

- Develop models for time-series analysis, forecasting, anomaly detection, behavioural analytics, and early warning.

- Build reusable statistical libraries for volatility, structural breaks, survival analysis, and uncertainty estimation.

- Collaborate with domain experts, product teams, and data engineers to translate business problems into quantitative solutions.

Required Skills

- Masters degree in Statistics, Econometrics, Mathematics, Operations Research,



Financial Engineering, Data Science, or a related quantitative discipline.

- 4-8 years of experience in quantitative analytics, econometrics, risk modelling, or statistical data science.

- Solid knowledge of probability, statistics, econometrics, and time-series analysis.

- Proficiency in Python and SQL.

- Experience with NumPy, pandas, SciPy, stats models, and scikit-learn.

Preferred

- Experience in banking, NBFCs, fintech, insurance, or credit risk analytics.

- Knowledge of IFRS 9/ECL, survival analysis, Bayesian methods, causal inference, or explainable AI.

- FRM, CQF, Actuarial, or similar quantitative certifications are a plus.

📌 Quantitative Decision Scientist( Econometrics/ Statistics/ Credit Risk (Gurugram)
🏢 Expergo Technologies
📍 Gurugram