We are seeking a highly analytical and motivated Quantitative Risk Analyst to join the Risk team at a leading quantitative hedge fund. The successful candidate will work closely with portfolio managers, traders and developers to monitor, model and mitigate risks across a broad range of liquid asset classes.
Key Responsibilities
Develop and maintain risk models, stress-testing frameworks and scenario analysis tools
Monitor portfolio exposures, VaR, Greeks, liquidity risk and tail-risk metrics in real time
Identify, investigate and explain risk concentrations and model limitations
Collaborate with trading and technology teams to enhance risk infrastructure and data quality
Produce regular risk reporting for internal stakeholders and senior management
Contribute to the ongoing improvement of risk policies, limits and controls
Required Qualifications & Experience
PhD in a STEM discipline (Physics, Mathematics, Computer Science, Engineering, Statistics or related field)
Clear evidence of strong interest in financial markets, demonstrated by one or more of the following:
Internship or placement at a hedge fund, proprietary trading firm or investment bank
Personal projects analysing performance of asset classes, strategies, volatility surfaces, order-book dynamics or similar topics
Publication(s), blog posts, GitHub repositories, Kaggle competitions or other public work related to quantitative finance
Strong programming skills (Python preferred; C++, Java or R also valuable)
Excellent understanding of probability, statistics and time-series analysis
Ability to communicate complex technical concepts clearly to non-specialist stakeholders
This is a rare opportunity to join a highly regarded quantitative trading firms working on cutting-edge problems at the intersection of science and finance in a collaborative, high-performance environment.
Talk to us
Director
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