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- Tasks: Engineer Python tools for trading insights and conduct quantitative strategy research.
- Company: Maven, a leading proprietary trading firm with a start-up vibe.
- Benefits: Dynamic culture, tech-driven success, and significant career impact.
- Why this job: Join a fast-growing firm and shape the future of financial markets.
- Qualifications: 2-5 years in trading, strong Python skills, and a passion for finance.
- Other info: Collaborative environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Maven is a market-leading proprietary trading firm allocating internal capital across discretionary, systematic, and market-making strategies. Our collective expertise spans traders, engineers, and technologists, unified by an unwavering dedication to enhance our efficiency as a premier liquidity provider for globally listed derivatives. We leverage groundbreaking execution and pricing technologies to elevate and improve how financial markets operate. Maven continues to scale its operations while preserving the dynamic energy and innovative culture of a start-up, but without the associated risks.
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.
Quantitative Trading Analyst employer: Maven
Contact Detail:
Maven Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trading Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current or former employees at Maven. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or analyses you've done in Python or SQL, make sure to highlight them. Share your GitHub or any relevant work during interviews to demonstrate your expertise.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of quantitative strategies and be ready to discuss how you’d tackle real-world trading scenarios. It’s all about showing you can think on your feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Maven team!
We think you need these skills to ace Quantitative Trading Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Trading Analyst role. Highlight your experience with Python, SQL, and any relevant trading strategies. We want to see how your skills align with what we do at Maven!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative trading and how you can contribute to our innovative culture. Keep it concise but impactful – we love a good story!
Show Off Your Analytical Skills: In your application, don’t shy away from showcasing your analytical prowess. Mention specific projects or experiences where you've used data analysis to drive results. We’re all about those high-value insights!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Maven
✨Know Your Python Inside Out
Since the role requires strong proficiency in Python, make sure you brush up on your skills with libraries like Pandas, NumPy, and SciPy. Be ready to discuss how you've used these tools in past projects, especially in data analysis and simulation.
✨Understand the Trade Lifecycle
Familiarise yourself with the trade lifecycle and various buy-side strategies such as Relative Value and Stat Arb. Being able to articulate your understanding of these concepts will show that you're not just technically skilled but also have a solid grasp of the trading environment.
✨Prepare for Quantitative Analysis Questions
Expect questions that test your ability to conduct rigorous statistical analysis. Brush up on your knowledge of PnL drivers, alpha decay, and execution drag. Prepare examples from your experience where you identified inefficiencies and made data-backed recommendations.
✨Show Your Passion for Financial Markets
Demonstrate your proactive interest in improving trading strategies and identifying new opportunities. Share any personal projects or research you've done related to financial markets, as this will highlight your enthusiasm and commitment to the field.
