Quantitative Trading Analyst: Data-Driven Market Strategies

Quantitative Trading Analyst: Data-Driven Market Strategies

Full-Time 45000 - 55000 Β£ / year (est.) No working from home possible
P2P

At a Glance

  • Tasks: Analyse data to develop smart trading strategies and collaborate with experts.
  • Company: DRW, a leading firm in quantitative trading and technology.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
  • Other info: Fast-paced team setting that values clear communication and collaboration.
  • Why this job: Gain hands-on experience in trading while working with cutting-edge technology.
  • Qualifications: 1-3 years in quantitative research, strong maths, and programming skills in Python/C/C++.

The predicted salary is between 45000 - 55000 Β£ per year.

DRW is seeking a Quantitative Trading Analyst to combine risk management, research and technology for optimal trading strategies.

You will work with traders, engineers and researchers across multiple asset classes, gaining hands-on trading experience and data analysis.

Candidates should have 1-3 years in quantitative research, strong math background and programming skills in Python/C/C++, and thrive in a fast-paced setting with clear communication and teamwork.

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Quantitative Trading Analyst: Data-Driven Market Strategies employer: P2P

P2P is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration in the heart of Greater London. With a commitment to employee growth, we offer extensive professional development opportunities and a supportive environment for those passionate about advancing decentralized finance. Join us to be part of a forward-thinking team that values your contributions and encourages meaningful impact in the financial services sector.

P2P

Contact Details:

P2P Recruitment Team

We think you need these skills to ace Quantitative Trading Analyst: Data-Driven Market Strategies

Quantitative Research
Risk Management
Data Analysis
Programming Skills in Python
Programming Skills in C
Programming Skills in C++
Strong Mathematical Background