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- Tasks: Engineer Python tools for trading insights and conduct in-depth quantitative research.
- Company: Leading proprietary trading firm focused on innovation and market improvement.
- Benefits: Dynamic work environment, growth opportunities, and a friendly culture.
- Other info: Join a fast-growing team where your contributions truly matter.
- Why this job: Make a real impact in finance with cutting-edge technology and analytics.
- Qualifications: 2-5 years in trading, strong Python skills, and a passion for financial markets.
The predicted salary is between 60000 - 80000 £ per year.
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.
Quantitative Trading Analyst employer: Maven Securities
Contact Detail:
Maven Securities 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 alumni from your university. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any quantitative analyses you've done. This is your chance to demonstrate your expertise and passion for trading, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and market trends. Be ready to discuss your past experiences and how they relate to the role. Practice makes perfect, so do mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that dream role!
We think you need these skills to ace Quantitative Trading Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Quantitative Trading Analyst role. Highlight your Python proficiency and any relevant experience in trading or quantitative analysis to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about trading and how your background makes you a perfect fit for us. Don’t forget to mention specific strategies or tools you’ve worked with.
Showcase Your Analytical Skills: We love data-driven insights! In your application, include examples of how you've used analytics to improve trading strategies or performance. This will demonstrate your ability to deliver actionable research, which is key for us.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll get a feel for our culture and values while you’re at it!
How to prepare for a job interview at Maven Securities
✨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 specific projects where you've used these tools to analyse data or create automated workflows.
✨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 how these strategies work and their implications on performance will show that you’re not just a numbers person but also understand the broader market context.
✨Prepare for Quantitative Analysis Questions
Expect to tackle questions that require you to perform statistical analysis on trade data. Brush up on your ability to decompose PnL drivers and identify inefficiencies. Practising with real datasets can help you feel more confident during the interview.
✨Show Your Passion for Financial Markets
Demonstrate your proactive interest in improving trading strategies and identifying new opportunities. Share examples of how you've kept up with market trends or contributed to strategy development in your previous roles. This will highlight your enthusiasm and commitment to the field.