Crypto Portfolio Risk Analyst

Preferred Locations London, New York, or Dubai (fully remote) About AlgoQuant Asset Management At AlgoQuant, we're building the future of digital asset management; grounded in rigorous research, world-class technology and a relentless focus on performance. We began as a proprietary trading firm, developing sophisticated algorithmic strategies and operating in some of the most complex and fast-moving markets. That DNA remains at our core, but today we are evolving into a fully remote, globally distributed Investment Management business. This transformation reflects a broader ambition: to scale our edge, deliver institutional-grade results, and set new standards for the industry. Our quantitative environment is built to empower innovation, combining vast data capabilities, disciplined model development, and highly automated execution. Risk is embedded in every layer of our thinking, with robust measurement, control, and scenario analysis integrated into our systems and decision-making. Technology is not just a tool for us, it’s a core competency and a competitive advantage. Role Overview We are seeking a highly analytical and detail-oriented Multimanager Crypto Portfolio Risk Analyst to join our Portfolio Risk team. In this role, you will be responsible for assessing, monitoring, and reporting on the risk exposures of a portfolio of external digital asset managers. You will provide insight into the risk/return profiles of these managers and ensure alignment with the firm’s overall risk appetite and investment objectives.

Key Responsibilities

• Monitor risk exposures across a diversified portfolio of crypto hedge fund and quant strategies.
• Perform quantitative analysis on fund returns, drawdowns, volatility, leverage, liquidity, and factor sensitivities.
• Track both on-chain and off-chain metrics to assess market, credit, liquidity, and operational risks.
• Collaborate with investment and operational due diligence teams to evaluate new and existing crypto managers.
• Review manager risk frameworks, trading practices, and risk controls.
• Assess manager concentration, style drift, and correlation with existing portfolio allocations.
• Contribute to the optimization of multi-manager portfolio construction from a risk-return perspective.
• Run scenario and stress tests based on historical and hypothetical events (e.g., exchange failures, flash crashes, regulatory changes).
• Model tail risk and extreme event exposures.

Reporting & Communication

• Produce regular and ad-hoc risk reports for internal stakeholders, risk committees, and clients.
• Communicate complex risk insights clearly to both technical and non-technical audiences.
• Recommend risk mitigation actions where necessary.

Tooling & Systems

• Work with internal data engineering and quant teams to enhance risk analytics infrastructure.
• Contribute to the development and maintenance of dashboards and tools for real-time risk monitoring.

Required Qualifications and Experience

• Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering, or a related field.
• 3–5+ years of experience in investment risk analysis, preferably in hedge funds, fund-of-funds, or digital assets.
• Strong knowledge of crypto markets, DeFi, derivatives, and trading venues (CEXs and DEXs).
• Familiarity with on-chain data analytics tools (e.g., Nansen, Dune, Glassnode) is a plus.
• Proficiency in Python, R, SQL, or similar for data analysis and visualization.
• Understanding of portfolio theory, VaR, expected shortfall, stress testing, and scenario analysis.
• Excellent communication skills and ability to collaborate across teams.

What Success Looks Like

• Delivering high-quality, actionable risk insights that directly inform portfolio allocation and risk committee decision-making.
• Building scalable processes and tools to systematically monitor risk across a growing set of external managers.
• Establishing yourself as a trusted partner to the investment, due diligence, and engineering teams.
• Anticipating and analyzing emerging risks in digital asset markets, proactively contributing to portfolio resilience.
• Demonstrating intellectual rigor, attention to detail, and clear communication under time-sensitive conditions.

Why Join AlgoQuant?

• Work at the forefront of quantitative trading and AI-driven research in crypto markets.
• Lead and contribute to a high-caliber technology and investment team, shaping the future of our trading and risk infrastructure.
• Collaborate daily with world-class researchers, traders, and engineers to drive technological and analytical excellence.
• Benefit from competitive compensation, including performance-based incentives and long-term upside potential.

#J-18808-Ljbffr Salary: USD 72000 - 108000 per year Experience: 3 years required Apply tot his job Apply To this Job