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- Tasks: Collaborate with trading and analytics teams to design and enhance quantitative tools.
- Company: Global proprietary trading firm at the forefront of quantitative analytics.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a fast-paced team and make an impact in the world of trading and analytics.
- Qualifications: 2-10 years in a quantitative role, strong Python/C++ skills, and market knowledge.
- Other info: Ideal for those who thrive in a collaborative, high-energy setting.
The predicted salary is between 36000 - 60000 £ per year.
A global proprietary trading firm is looking to add a quantitative product strategist to a front-office quantitative analytics group supporting trading across multiple asset classes. This role sits at the intersection of trading, quantitative analytics, and engineering, with a focus on ensuring quantitative tools, models, and systems are correctly designed, implemented, and used across the business. This position is well suited for a strong quantitative profile who enjoys working across markets, data, and large systems, and who is comfortable acting as a bridge between traders, quants, and engineers in a fast-moving trading environment.
Responsibilities:
- Act as a quantitative partner to trading and analytics teams, supporting the design and evolution of risk, P&L, pricing, and analytics tools.
- Translate business and trading requirements into clear quantitative and functional specifications for engineering teams.
- Work closely with technologists to validate analytics and models, and help guide prototypes into scalable, production-ready systems.
- Analyze market data and system outputs to ensure results are intuitive, consistent, and aligned with market behavior.
- Coordinate across trading, quantitative, and technology stakeholders to ensure quantitative solutions are delivered accurately and efficiently.
- Maintain and enhance existing analytics and tools as market conditions, products, and systems evolve.
Requirements:
- ~2–10 years of experience in a quantitative role (e.g. QA, QR, QD, or desk-facing analytics).
- Strong quantitative foundation.
- Broad understanding of financial markets and market data.
- Proficiency in Python and/or C++; ability to work with large analytics libraries and data-driven systems.
- Comfortable interpreting risk and P&L outputs and assessing whether results make sense in real trading conditions.
- Strong communication skills and the ability to work effectively across traders, quants, and engineers.
- Enjoys operating in a fast-paced, front-office environment with frequent context switching.
To apply, directly submit your CV to this job posting, or email to jimmy.xu@mondrian-alpha.com.
Trading Strategist in London employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Strategist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and quantitative analytics space. Attend industry events, webinars, or even local meetups. 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 quantitative models or analytics tools. This is your chance to demonstrate your expertise in Python or C++ and how you've tackled real-world problems. A strong portfolio can set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your market knowledge and technical skills. Be ready to discuss how you've collaborated with traders and engineers in the past. Practice explaining complex concepts in simple terms – communication is key in this role!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive. Tailor your application to highlight your quantitative background and experience in fast-paced environments. Let's get you that Trading Strategist role!
We think you need these skills to ace Trading Strategist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Trading Strategist. Highlight your quantitative skills, experience with financial markets, and any relevant projects that showcase your ability to bridge the gap between trading, analytics, and engineering.
Showcase Your Technical Skills: Since proficiency in Python and/or C++ is key, don’t forget to mention specific projects or experiences where you’ve used these languages. We want to see how you’ve tackled large analytics libraries and data-driven systems in real-world scenarios.
Communicate Clearly: Your application should reflect your strong communication skills. Use clear and concise language to explain your experiences and how they relate to the responsibilities outlined in the job description. Remember, you’ll be acting as a bridge between different teams!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our fast-paced trading environment.
How to prepare for a job interview at Mondrian Alpha
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative skills and knowledge of financial markets. Be ready to discuss your experience with risk, P&L, and pricing models, as well as how you've used Python or C++ in previous roles.
✨Bridge the Gap
Since this role involves acting as a bridge between traders, quants, and engineers, prepare examples of how you've successfully collaborated across different teams. Highlight your communication skills and how you’ve translated complex requirements into actionable insights.
✨Showcase Your Analytical Mindset
Be prepared to analyse market data during the interview. You might be asked to interpret outputs or assess whether results align with market behaviour. Practise explaining your thought process clearly and logically.
✨Stay Agile and Adaptable
This position is in a fast-paced environment, so demonstrate your ability to handle context switching and adapt to changing conditions. Share experiences where you’ve thrived under pressure and how you manage multiple priorities effectively.