Quantitative Trading Analyst — Data-Driven Strategy

Maven; Greater London; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading proprietary trading firm in Greater London seeks an experienced professional to develop advanced analytics infrastructure and conduct quantitative strategy research. The role requires 2-5 years in a Hedge Fund or Proprietary Trading environment, proficiency in Python, and a deep understanding of trading strategies. You will enhance existing strategies and support the onboarding process for Portfolio Managers. A dynamic, rewarding culture awaits with plenty of opportunities for impact.

Benefits

Technology-focused environment

Start-up culture without risks

Friendly and rewarding culture

Significant opportunities for impact

Qualifications

• 2–5 years of experience at a Hedge Fund or Proprietary Trading Firm.
• Proficiency in Python for data analysis and simulation.
• Deep understanding of the trade lifecycle and buy-side strategies.
• Proactive interest in improving trading strategies.
• Ability to take high responsibility.

Responsibilities

• Engineer scalable Python-based libraries for performance metrics.
• Conduct statistical analysis on trade-level data.
• Analyze strategy performance to identify optimisations.
• Monitor portfolio exposures and performance trends.
• Support PM onboarding and business development.

Skills

Python (Pandas, NumPy, SciPy)

SQL knowledge

Communication skills

Teamwork skills

Analytical skills

Attention to detail

Problem-solving skills

Job description

A leading proprietary trading firm in Greater London seeks an experienced professional to develop advanced analytics infrastructure and conduct quantitative strategy research. The role requires 2-5 years in a Hedge Fund or Proprietary Trading environment, proficiency in Python, and a deep understanding of trading strategies. You will enhance existing strategies and support the onboarding process for Portfolio Managers. A dynamic, rewarding culture awaits with plenty of opportunities for impact.