Quantitative Researcher - Mid-Frequency Systematic Trading - Hedge Fund

Tempest Vane Partners

Greater London

On-site

GBP 95,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Pension
Private healthcare
Life assurance
25 days vacation

Job summary

Tempest Vane Partners in Mayfair, London is seeking a strong Quantitative Researcher with deep experience in Systematic Equities or Macro to lead the research and build new strategies.

You will conduct in-depth quantitative research, analyse large datasets to identify signals, design, test and validate alpha models using statistical and machine learning techniques, and collaborate with portfolio managers and engineers to implement strategies into production.

Qualifications

  • 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++.

Responsibilities

  • 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.

Skills

Quantitative research
Data analysis
Statistical methods
Machine learning

Education

Masters or PhD in Mathematics, Statistics, Computer Science, or equivalent STEM degree

Tools

Python
C++

Job description

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.

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.

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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