Description

As a Risk Associate, you will be a core member of the European Market Risk team. You will work closely with market analysts, branch managers and risk teams to design, build and improve risk models, performance analysis, and monitoring tools.

The role is within the London office with hybrid working.

Key Responsibilities

Risk Monitoring

• • Monitor and analyse real-time and end-of-day portfolio exposures to ensure adherence to approved risk parameters and limits.
  • Escalate breaches promptly and highlight emerging concentration or liquidity risks.
  • Produce daily risk and performance reports for risk and desk managers.
  • Investigate and explain material performance deviations and risk movements by linking them back to market drivers.

Risk Modelling & Framework Development

• • Support the design, development, monitoring, and maintenance of in-house risk analytics solutions covering:
  • Value at Risk (VaR)
  • Option pricing models
  • Scenario analysis and stress testing
  • Partner with analysts, desk managers, and risk managers to ensure models reflect strategy specific risks.
  • Assist in model validation, calibration, and ongoing performance monitoring.

Performance Analysis

• • Conduct detailed performance analysis across different volatility regimes and market environments.
  • Analyse performance drivers across individual analysts and combined portfolios.
  • Provide analytical insight to support improved capital allocation and strategy evaluation.

Reporting, Visualisation & Automation

• • Build dashboards and data visualisations to clearly communicate risk and performance insights.
  • Automate reporting processes and repeatable daily tasks using Python and SQL.

Requirements

Experience

• • Minimum 3 years' experience in market risk/ derivatives risk, or closely related role.
  • Demonstrable experience of working with, building, or enhancing risk models using:
  • Value at Risk (VaR) methodologies
  • Monte Carlo simulation
  • Stress testing and scenario analysis
  • Options pricing models

Technical Skills

• Strong Python proficiency (essential).
• Strong SQL skills.
• Experience automating processes and building reporting dashboards.

Education

• • Degree in Mathematics, Statistics, Finance, Economics, Engineering or related discipline.
  • FRM or CFA beneficial but not required.

Personal Attributes

• • Strong analytical and numerical capability.
  • Self-motivated and committed to delivering high quality results.
  • Ability to translate quantitative analysis into clear, actionable insights.