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- Tasks: Collaborate with traders and engineers to design and enhance quantitative tools for trading.
- Company: Top-tier global proprietary trading firm with a dynamic front-office environment.
- Benefits: Competitive compensation, fast-paced work culture, and opportunities for professional growth.
- Why this job: Join a cutting-edge team at the intersection of trading and quantitative analytics.
- Qualifications: 2-10 years in a quantitative role; strong skills in Python or C++.
- Other info: Fast-paced environment with opportunities to work across multiple asset classes.
The predicted salary is between 43200 - 72000 £ 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.
- 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.
Quantitative Product Strategist - Prop Shop - London - Top Tier Compensation employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Product Strategist - Prop Shop - London - Top Tier Compensation
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Brush up on your quantitative skills and be ready to discuss how you've tackled real-world problems. Practise explaining complex concepts in simple terms – it’ll impress both traders and engineers.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant analytics tools or models, make sure to highlight them. A portfolio of your work can really set you apart and demonstrate your hands-on experience.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quantitative Product Strategist - Prop Shop - London - Top Tier Compensation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of a Quantitative Product Strategist. Highlight your quantitative background, experience in financial markets, and any relevant projects that showcase your ability to bridge trading and analytics.
Showcase Your Technical Skills: Since proficiency in Python and/or C++ is key, don’t forget to mention any projects or roles where you’ve used these languages. We want to see how you've worked with large analytics libraries and data-driven systems, so be specific!
Communicate Clearly: Strong communication skills are essential for this role. In your application, make sure to demonstrate how you've effectively collaborated with traders, quants, and engineers in the past. Clear examples will help us see your fit for the team.
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 ensure it gets the attention it deserves. Don’t miss out on this opportunity!
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 your proficiency in Python or C++. This is your chance to show how your background aligns with the role!
✨Understand the Business Needs
Familiarise yourself with the specific trading strategies and tools used by the firm. Think about how you can translate business requirements into quantitative specifications. Being able to articulate this during the interview will demonstrate your understanding of the role's responsibilities.
✨Communicate Like a Pro
Since this role involves liaising between traders, quants, and engineers, strong communication skills are a must. Practice explaining complex concepts in simple terms. You want to show that you can bridge the gap between different teams effectively.
✨Show Your Problem-Solving Skills
Prepare to discuss past experiences where you've tackled challenges in a fast-paced environment. Think of examples where you validated analytics or improved existing tools. Highlighting your problem-solving abilities will set you apart from other candidates.
