Markets move fast, and strong risk thinking helps teams act with clarity. You’ll sit close to trading activity while keeping the independence needed to provide thoughtful challenge. We’ll support you in building deep product expertise and sharpening your quantitative toolkit. You’ll help modernize how risk is measured and communicated, including new data and machine learning approaches. Your work will directly influence risk appetite, limits, and timely decisions.
As an Associate, Equities Market Risk within Market Risk Management, you provide independent oversight of equity market risk across trading activities. You quantify and monitor potential losses driven by changes in equity prices, volatility, and related market factors, and you turn analysis into clear, decision-ready insights. You partner closely with trading teams while maintaining objective challenge and strong control discipline. You’ll lead scenario analysis and stress testing, assess tail risks, and help ensure activity stays within risk appetite and limits. You’ll also help build modern risk tools using automation, machine learning, and emerging analytics.
Job responsibilities
- Design and improve the market risk frameworks, methodologies, and limits used to measure equities risk and define our risk appetite
- Independently assess and challenge the risk profile of trading activities by questioning concentrations, sizing, and structures
- Partner with the trading desk to enable efficient risk-return and capital decisions within risk appetite
- Assess the appropriateness of new, large, or complex transactions and build deep expertise in the products we trade and their key risks
- Follow global markets and macro developments, assess their implications for supervised activities, and escalate key risks to the trading desk and Market Risk management
- Perform scenario analysis, stress testing, and deep dives into emerging risk themes, and communicate findings clearly to the business
- Analyze aggregated risks and tail-risk exposures across portfolios and risk factors
- Facilitate efficient risk-return decisions through timely, well-reasoned risk insights and challenge
- Maintain regular dialogue with trading businesses on risk appetite, risk limits, and individual large and complex transactions
- Leverage machine learning techniques to build the next generation of risk management decision tools, including predictive analytics and AI-enabled monitoring and measurement
Required qualifications, capabilities and skills
- Strong coding skills, with demonstrated ability to independently build working tools such as Python
- Applied AI and large language model fluency, with experience building or meaningfully experimenting with large language model-based or agentic workflows
- Strong quantitative skills, with confidence working analytically with numbers, models, and complex problems
- Risk aptitude and a strong willingness to learn the domain and products
- Innovative mindset, with a track record of identifying better ways of working, constructively challenging the status quo, and bringing new ideas
- Ownership and proactivity, with the ability to self-start and follow through to a finished result