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- Tasks: Engineer Python tools for trading insights and conduct in-depth quantitative research.
- Company: Maven, a leading proprietary trading firm with a start-up vibe.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Join a team that revolutionises financial markets with innovative strategies and technologies.
- Qualifications: 2-5 years in finance, strong Python skills, and a passion for market analysis.
- Other info: Collaborative culture focused on enhancing trading efficiency and performance.
The predicted salary is between 43200 - 72000 £ per year.
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.
Requirements
- 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.
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.
Quantitative Trading Analyst in City of Westminster employer: Maven Securities Ltd
Contact Detail:
Maven Securities Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trading Analyst in City of Westminster
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to quantitative analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common quantitative trading scenarios and be ready to discuss how you've tackled similar challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our needs, and let your passion shine through!
We think you need these skills to ace Quantitative Trading Analyst in City of Westminster
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your proficiency in Python, especially with libraries like Pandas and NumPy. We want to see how you can engineer scalable tools and automate workflows, so don’t hold back on showcasing relevant projects or experiences!
Quantitative Analysis is Key: Since the role involves rigorous statistical analysis, include examples of your past work where you've decomposed PnL drivers or identified inefficiencies. We love seeing how you’ve used data to deliver actionable insights that improved performance.
Communicate Clearly: Excellent communication skills are a must! When writing your application, make sure to convey your ideas clearly and concisely. We appreciate candidates who can articulate complex concepts in a straightforward manner, especially when it comes to trading strategies.
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 shows your enthusiasm for joining our team at Maven!
How to prepare for a job interview at Maven Securities Ltd
✨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 prepared 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. This knowledge will help you answer questions about how you can improve existing strategies and identify new opportunities.
✨Showcase Your Analytical Skills
Be ready to demonstrate your ability to conduct rigorous statistical analysis. Prepare examples of how you've decomposed PnL drivers or identified inefficiencies in previous roles. Use data to back up your recommendations.
✨Communicate Clearly and Confidently
Excellent communication is key in this role. Practice explaining complex concepts in a straightforward manner. Think about how you can convey your findings to Portfolio Managers and the Investment Committee effectively.
