Investment Risk Analyst - Asset Management

Investment Risk Analyst

Meraki Talent are working with a London West End based investment management firm with approximately £15 billion in assets under management to help them identify an Investment Risk Analyst to join their Risk team and support the ongoing development and oversight of investment risk across portfolios.

This role offers broad exposure to portfolio managers, investment teams, and senior management, with a strong emphasis on market, credit, liquidity, and ESG-related risks.

• Monitor and analyse investment risk across fixed income and equity portfolios, ensuring alignment with investment guidelines and risk appetite
• Produce regular and ad-hoc risk reports for portfolio managers, investment committees, and senior stakeholders
• Analyse portfolio risk characteristics including duration, yield curve exposure, credit risk, factor exposures, volatility, and drawdown
• Support stress testing, scenario analysis, and sensitivity analysis across asset classes
• Partner closely with portfolio managers to provide risk insights and challenge where appropriate
• Contribute to ESG risk analysis, including climate risk, controversy monitoring, and ESG factor exposures
• Assist in the development and enhancement of risk models, tools, and processes
• Monitor regulatory and internal risk limits, escalating breaches where necessary
• Support data integrity and risk system optimisation, liaising with vendors and internal teams

• 2–5 years’ experience in investment risk, portfolio analytics, or a related role within asset management
• Strong understanding of fixed income instruments (rates, credit, duration, spreads) and equities
• Familiarity with portfolio risk concepts such as VaR, stress testing, factor models, and performance attribution
• Working knowledge of ESG integration and sustainability-related risks within investment portfolios
• Strong quantitative and analytical skills
• Experience using risk systems and data platforms (e.g. Barra, Aladdin, Bloomberg, Fact Set, or similar)
• Advanced Excel skills;
  Python, R, or SQL experience is an advantage
• Ability to communicate complex risk concepts clearly to non-technical stakeholders