The Quantitative Risk Analyst will develop and maintain automated processes and tools for portfolio risk management and performance reporting, while collaborating with various teams including the CRO and Portfolio Managers. Responsibilities also include preparing reports and addressing ad hoc risk-related analysis.
We are seeking a Quantitative Risk Analyst to join our Investment Risk Management team to support market and liquidity risk analytics, performance and risk attribution reporting, portfolio construction and original research. You will report directly to the CRO as well as work with the PMs, Quant Researchers, Developers, Back / Middle Office and Investor Relations teams across the company. Success in this role will require attention to detail and quality, creativity, proactivity and a desire to learn about all aspects of a quantitative investment business.
Location
London, UK (Hybrid mode with 3 days in-office requirement)
Key Responsibilities
- Design, build and maintain robust, scalable and automated processes, reports and interactive tools for portfolio risk management, performance attribution, portfolio construction and liquidity management, with a strong focus on quantitative and statistical methods.
- Prepare, analyze and present regular reports for the CRO, Risk Committee, Portfolio Managers, and Investor Relations and Operations teams ..
- Assist the CRO with ad hoc risk-related questions and analysis.
- Conduct original research working directly with the CIO and CRO
Basic Requirements
- Masters or PhD in Finance, Math or Computer Science or closely related (quantitative) subject, or equivalent Bachelor’s degree with 3-5 years of relevant work experience.
- Foundational knowledge of investment strategies (i.e. discretionary, systematic, signal-based), asset classes (i.e. commodities, bonds, equities, FX), instruments (i.e. cash, futures, forwards, exchange-listed, options, OTC etc) and a desire to learn what you don’t know
- Mathematical understanding of financial risk management techniques (i.e. value-at-risk, standard deviation, correlation, marginal risk, probability, stress testing) in order to apply these techniques creatively and in novel ways
- Proficiency in Python and SQL coding following best design and documentation practices
- Willingness to invest the time to master a large complex data architecture system
- Keen eye for details and self-quality control
- Collaborative approach and desire to be part of a team
- Excellent business communication skills
Nice To Have Requirements
- 2+ years of work experience in a risk analyst or similar role in a trading firm, a hedge fund or a related field
- Ability to manage tasks across diverse stakeholders, teams, and time zones
What You’ll Get
- Amazing work environment, and ability to grow professionally
- Opportunity to learn from the seasoned industry professionals, spanning from hands-on management to C-Level executives
- An open-door, flat-structured, collaborative environment
- Practical insights into the quantitative investment business that aren’t found in books or articles
What Makes You a Match
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You are attentive to details
- Data and numbers make you excited
- You are passionate about finance industry
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You actively listen and observe
Benefits
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Health insurance
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Flexible sick time policy
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Office lunches
Top Skills
Python
SQL
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