Our client, a leading global multi-strategy hedge fund, is seeking an Equity Risk Analyst to join its Investment Risk team in London. You will provide independent risk oversight across a diverse portfolio of Long/Short Equity strategies, build relationships with portfolio managers, and monitor portfolio activity and exposures. This is a highly visible, front-office facing role, offering interaction with experienced Portfolio Managers and the opportunity to drive the growth and optimization of the risk organizations platform.
Key Responsibilities
- Monitor and analyse portfolio risk across Long/Short Equity portfolios on a daily basis.
- Build working relationships with portfolio managers on day-to-day risk questions.
- Identify, investigate and challenge key portfolio risks including concentration, liquidity, factor, sector, country and style exposures.
- Perform scenario analysis and stress testing to assess portfolio resilience under different market environments.
- Analyse P&L attribution and understand the key drivers of portfolio performance.
- Review gross and net exposures, beta, leverage and portfolio diversification metrics.
- Evaluate factor risk using quantitative risk models and proprietary analytics.
- Monitor liquidity profiles and assess the impact of changing market conditions on portfolio positioning.
- Work alongside Quantitative Research, Trading and Technology teams to enhance risk tools, analytics and reporting.
- Produce clear and insightful risk reports for Portfolio Managers and senior leadership.
- Support new strategy launches, portfolio onboarding and investment due diligence.
- Contribute to the continual development of the risk framework and risk infrastructure.
Requirements
- 2–5 years of relevant risk management experience at a hedge fund or asset manager with a focus on equity markets.
- Familiarity with risk models and market conventions (e.g., Barra factor models).
- Strong communication skills, with the ability to build rapport with portfolio managers and articulate risk concepts clearly.
- Proficiency in Python and SQL; familiarity with AI tools.
- Hands-on, roll-up-sleeves mindset.
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