Analyst, Quantitative Market Risk

About the role

This quantitative analyst position sits within the Risk Management function of a global bank. You will design, implement and validate traded‑risk models that support market risk, counterparty exposure and capital across multiple asset classes.

Key responsibilities

• Develop, enhance and maintain risk and exposure models (e.g., VaR, sensitivities, stress testing, counterparty metrics).
• Support model validation through independent testing, benchmarking and performance analysis.
• Work with large market‑data and trade‑data sets to build and maintain time‑series and risk‑factor representations for rates, FX, credit, equities and commodities.
• Produce clear analysis and documentation of model behaviour, assumptions and limitations for risk committees and senior stakeholders.
• Collaborate with Market Risk, Front Office, Model Risk and IT teams to implement model changes and ensure accurate, timely risk measurement.

Required profile

• Strong quantitative academic background (Mathematics, Statistics, Physics, Engineering, Economics/Finance).
• Practical experience (internship or full‑time) in market risk, model validation, quantitative risk, pricing models or traded‑products analytics.
• Good knowledge of financial markets and derivatives (options, swaps, forwards) and core risk concepts (VaR, Greeks, stress testing).
• Programming ability in Python (or a similar language) with comfort in data handling and statistical libraries.

Required skills

• Python programming
• Statistical and data‑handling libraries