Leading a team of 2-3 analysts, assigning tasks, providing mentorship, and escalating any issues in the Market Risk processes.
Generating reports and monitoring VaR limits, observing risk measures, and taking corrective actions to amend the data.
Developing and performing reconciliations and data quality (DQ) checks between systems using Python and SQL on the data used for market risk calculations.
Performing UAT testing on the data post-implementation of changes and detecting anomalies.
Onboarding and maintaining time series data used in the calculation of risk measures.
Helping optimize processes to reduce turnaround time in the daily signoff process.
Understanding systems and data flow, working closely with IT, MR, and developers to remediate issues and errors.
Experience in leading and guiding a global team to ensure high-quality work aligned with project/client objectives.
Knowledge of Market Risk, back testing, and FRTB regulations (preferred).
Previous experience working with Python (Numpy) and SQL.
Ability to navigate systems, access data, and independently identify discrepancies with minimal support from onshore staff.
Excellent communication skills, fast learner, and team player.
Cross-functional experience handling issues with Risk, IT, and other business lines.
