Risk Manager – Long/Short Equities - London
A single-manager long/short equities fund that has already amassed over $1 billion in AUM within its first year is seeking a highly technical Risk Manager to join its dynamic team. Led by a highly successful and recognized fund manager, this fund operates under the radar but is poised for significant growth. Reporting directly to the CIO, you will work closely with the Head of Data Engineering and Head of Quant Research to develop and lead the risk infrastructure in a greenfield environment. The role offers a clear path to becoming Chief Risk Officer (CRO) as the fund expands.
Key Responsibilities:
Design, implement, and maintain a bespoke risk management framework, systems, and tools tailored to the fund's Equity Long/Short strategy.
Collaborate with the Head of Data Engineering to integrate risk systems into the PMS/OMS (currently evaluating Infusion).
Work alongside the Head of Quant Research to develop analytics for VaR, stress testing, and scenario analysis across multi-strategy portfolios.
Partner with Portfolio Managers and senior leadership to ensure alignment between portfolio risk and the firm’s strategy.
Manage risk-related queries during onboarding with prime brokers and investors.
Your Skillset:
Advanced degree in a quantitative field such as data science, statistics, mathematics, or engineering.
Strong statistical proficiency, with familiarity in machine learning, NLP, or AI techniques (a plus).
Expertise in programming (Python, R, Matlab, C++, or C#).
Experience working with large datasets and extracting actionable insights.
Strong problem-solving skills, with a curiosity to explore new data sources.
Solid trading knowledge for developing systematic strategies.
Excellent communication skills for collaborating with global teams of technologists, data scientists, and traders.
Proven track record in developing and deploying successful systematic strategies.
Required experience:
Experience: 5–10+ years in hedge fund risk management, with Equity Long/Short expertise and multi-strategy exposure.
Technical Skills: Strong understanding of linear and non-linear instruments; experience building and optimizing risk frameworks and tools.
Collaboration: Proven ability to work closely with technology and quantitative research teams to deliver innovative solutions.
Leadership Potential: Track record of taking ownership and driving risk management initiatives, with aspirations to step into a CRO role.
This is a unique opportunity to join a high-performing fund at the ground level, working alongside an elite team of investment, data, and quant professionals to shape its risk function and future success.
To apply reach out to quantresearch@octaviusfinance.com