Our Client Currently looking for Risk Analyst – Python/SQL

Core Competencies & Success Metrics :

Domain Expertise :

– Fintech : Familiarity with instant approval decisioning, high-velocity transaction flows, chargeback/fraud dynamics, and customer acquisition models.

– 1 to 3 years in credit risk analytics, or consumer fintech metrics (e.g., fraud, chargeback, risk).

– Credit & Risk Knowledge : Understanding of bureau scoring

Technical Skills :

– SQL Advanced : Write complex nested queries, window functions, and multi-stage aggregations. Optimize for performance on billion-row datasets.

– Python for Analytics : Pandas, NumPy, SciPy for ad-hoc cohort analysis, statistical tests (Chi-square, t-test, survival analysis), and simple predictive models (logistic regression).

Key Performance Indicators :

– Approval Optimization : Month-on-month approval rate improvement (target : +12% quarterly without degrading quality), funnel conversion lift from A/B tests.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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