Tempest Vane Partners
Quantitative Researcher - Mid-Frequency Systematic Trading - Hedge Fund
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The Client
My client is a dynamic and fast-moving Systematic Trading business headquartered in Mayfair, London. Their focus has traditionally been on low and mid-frequency Systematic Futures, FX & Rates, however, they are now looking to expand their research into the Equities space.
They are looking for a strong Quantitative Researcher with in-depth experience of Systematic Equities or Macro markets to lead the research and build of new strategies.
What You'll Get
- An opportunity to work in one of the most exciting Systematic Trading businesses in the City.
- An opportunity to join a strong team with a very high talent density presenting lots of opportunity for learning and development.
- Incredible career progression opportunities with potential access to all areas of the business.
- A market-leading compensation package including generous basic salary and annual bonus.
- Benefits including pension, private healthcare, life assurance, and 25 days vacation.
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What You'll Do
- Conduct in-depth quantitative research to develop and enhance systematic Macro and Equity strategies.
- Analyse large, complex datasets to identify predictive signals and market inefficiencies.
- Design, test, and validate alpha models using robust statistical and machine learning techniques.
- Collaborate with portfolio managers and engineers to implement strategies into production.
- Monitor and evaluate model performance, ensuring robustness and scalability.
- Stay current with academic research and industry developments in quantitative finance and equities markets.
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What You'll Need
- A Masters or PhD from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree.
- Solid experience in Mid or low-frequency Systematic Trading.
- Solid track record of trade idea generation, original research, and strategy development.
- Proficiency in back-testing, simulation, and statistical techniques.
- Experience working with large datasets and data analysis tools.
- Strong programming skills in Python and/or C++.
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