At a Glance
- Tasks: Analyse trading data and design machine learning algorithms for competitive edges.
- Company: Join a leading firm in the finance sector with a focus on innovation.
- Benefits: Earn up to £200k plus bonuses, with great growth opportunities.
- Other info: Dynamic team environment with significant career progression potential.
- Why this job: Make an impact in high-frequency trading while working with cutting-edge technology.
- Qualifications: Strong analytical skills and experience in quantitative research.
The predicted salary is between 180000 - 200000 £ per year.
Jobs via eFinancialCareers is seeking a self-driven quantitative researcher to join their Latency team in Greater London. You will analyze vast amounts of trading data and help identify competitive edges. This role offers the chance to work closely with trading teams, perform statistical analysis, and design machine learning algorithms.
Benefits include a competitive salary of up to £200k plus bonuses, and significant opportunities for growth and career progression.
Python Quantitative Researcher - Latency & ML for HFT Edge in London employer: Jobs via eFinancialCareers
As a leading employer in the financial technology sector, we offer a dynamic work environment in Greater London where innovation thrives. Our culture promotes collaboration and continuous learning, providing employees with significant opportunities for professional growth and career advancement. With a competitive salary package and performance-based bonuses, we are committed to rewarding our team members for their contributions while fostering a supportive atmosphere that encourages creativity and excellence.
Contact Details:
Jobs via eFinancialCareers Recruitment Team
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We think this is how you could land Python Quantitative Researcher - Latency & ML for HFT Edge in London
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