Quantitative Trading Analyst

Maven - Trading and Portfolio Management; Greater London; On-site; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Tech-driven environment

Start-up vibe with low risk

Friendly culture

Global growth opportunities

Job summary

Maven - Trading and Portfolio Management is seeking a data analytics professional to develop scalable Python tools for portfolio insights and to perform rigorous quantitative research on trading strategies. You will collaborate with Portfolio Managers and the Investment Committee to inform decisions and optimise performance.

Ideal candidates have 2–5 years in hedge funds or prop trading, strong Python and SQL skills, and a keen eye for numerical detail.

Qualifications

• 2–5 years of experience in hedge funds, prop trading, or quantitative asset management.
• Strong Python for data analysis and simulation; SQL knowledge is essential.
• Deep understanding of trade lifecycle and buy-side strategies (e.g., Relative Value, Stat Arb).
• Excellent communication and teamwork skills.

Responsibilities

• Develop advanced analytics infrastructure using scalable Python libraries.
• Conduct quantitative strategy research on trade and portfolio data.
• Improve returns by identifying inefficiencies and optimisation areas.
• Highlight trading risks and opportunities across strategies.
• Support strategy development and PM onboarding.

Skills

Python

Pandas

NumPy

SciPy

Data analysis

SQL

Tools

Backtesting

Job description

Maven is a market-leading proprietary trading firm deploying its own capital across discretionary, systematic, and market-making strategies. Backed by deep expertise in trading, technology, and research, we are relentlessly focused on improving liquidity across global listed derivatives. Through advanced execution and pricing technologies, we improve how financial markets operate.

Responsibilities

• Develop Advanced Analytics Infrastructure : Engineer scalable Python-based libraries and tools that standardize performance metrics across the group. create automated workflows that convert raw trading data into high-value insights for Portfolio Managers and the Investment Committee.
• Conduct Quantitative Strategy Research : Perform rigorous statistical analysis on trade and portfolio-level data to decompose PnL drivers. Identify alpha decay, parameter inefficiencies, and execution drag to deliver actionable research that directly improves performance.
• Improve Returns on Existing Strategies** :** Analyze performance on a trade and strategy level to identify inefficiencies of optimisation areas. Deliver recommendations backed by data and maintain follow through.
• Highlight Trading Risks & Opportunities** :** monitor portfolio exposures, performance trends, and market signals to highlight emerging risks and identify underutilized or mispriced opportunities across various strategies.
• Support Strategy Development** :** support the PM onboarding process, and business development initiatives into new product groups and strategies.

Candidate Specifications

• At least 2–5 years of experience specifically within a Hedge Fund, Proprietary Trading Firm, or Quantitative Asset Manager.
• Strong proficiency in Python (Pandas, NumPy, SciPy) for data analysis and simulation; SQL knowledge is essential.
• Deep understanding of the trade lifecycle and buy-side strategies (e.g., Relative Value, Stat Arb, Volatility).
• Excellent communication and teamwork skills
• Ability to demonstrate wider interest in financial markets
• Outstanding numerical skills
• Proactive interest in improving existing trading strategies and identifying new opportunities
• Ability to take a high level of responsibility in an expanding, highly successful firm
• Excellent attention to detail
• Fast problem-solving skills

What We Offer

• A great environment whereby technology is key to our success
• The upside of a start-up without the associated risks
• Friendly, informal and highly rewarding culture
• A fast-growing global firm with plenty of opportunities where you will have a significant impact