Role & Responsibilities :

- Execute end-to-end risk analytics, including monitoring portfolio health, evaluating risk frameworks, and identifying drivers behind risk outcomes to optimize performance.

- Perform complex data analysis using advanced SQL (joins, CTEs, window functions) to uncover trends, anomalies, and root causes.

- Design and maintain Power BI dashboards and automated reports for tracking KPIs, risk metrics, and performance indicators.

- Conduct deep dives into transaction risk, customer onboarding, underwriting performance, fraud trends, and rule monitoring.

- Translate ambiguous business problems into structured analytical solutions and present clear, data-backed recommendations to senior stakeholders.

- Mentor junior team members and ensure data accuracy and compliance with governance standards.

Tech Stack & Skills :

- Advanced SQL (joins, CTEs, window functions), query optimization for large transactional datasets.

- Power BI (or similar BI tools) dashboard design, automated reporting.

- Statistical / quantitative analysis (trend, anomaly, and root-cause analysis).

- Data storytelling and stakeholder management.

Qualification :

- Degree in a quantitative field (Statistics, Mathematics, Economics, Data Science, or Engineering).

- 8+ years of experience in risk analytics.