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For Companies At a Glance
- Tasks: Develop analytics and models to support trading and risk management in a fast-paced environment.
- Company: DRW, a leading trading firm with a culture of innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in global markets using cutting-edge technology.
- Qualifications: Experience in quantitative finance and strong programming skills are essential.
- Other info: Collaborative atmosphere with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non‑traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it’s how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are seeking a Quantitative Product Strategist to join our Global Quantitative Modeling and Analytics team. This is a front‑office role that blends quantitative analysis, risk and P&L understanding, and hands‑on tool development with close collaboration across our trading, quantitative research, technology and risk teams.
The ideal candidate will be able to:
- Act as a desk strategist, developing analytics, models, and tools to support trading and risk management.
- Work closely with technologists to validate models and analytics, transform prototypes into robust production systems.
- Translate trader and researcher requirements into clear technical specifications and project plans.
This is a unique opportunity for a hybrid profile — someone comfortable talking markets and models with researchers and traders, but equally adept discussing data pipelines, APIs, and system architecture with technologists.
Key Responsibilities
- Partner with traders, desk strategists, and researchers to design and enhance risk, P&L, and analytics tools.
- Prototype and implement quantitative models and curve construction tools for fixed income markets.
- Perform data analysis to validate and improve model inputs, calibration, and outputs.
- Collaborate with technology teams to productionize models and integrate analytics into live trading/risk systems.
- Translate vague requests from the trading desk (e.g., "We need a new view on inflation swaps") into clear, mathematical, and functional specifications for software engineers.
- Act as a conduit between front‑office stakeholders and developers, ensuring business requirements are clearly captured and translated into technical designs.
- Lead the User Acceptance Testing for new system releases, ensuring the numbers produced by the Tech team match the expectations of the Quantitative Research team.
- Maintain and improve existing quantitative tools, responding to evolving market conditions and desk needs.
- Monitor daily risk and P&L outputs, investigating discrepancies and improving accuracy.
- Collaborate with data engineers to streamline the flow of market data into pricing models.
Qualifications & Experience
- Background in quantitative finance, financial engineering, applied mathematics, physics or related technical field.
- 2–5 years’ experience in a front‑office quant/strategist role, preferably in fixed income or FX markets.
- Strong programming skills (Python, C++, or similar) and proven ability to build production‑quality tools.
- Proficiency in SQL and time‑series analysis is a plus.
- Familiarity with Git, version control, and collaborative coding environments.
- Solid understanding of market data, yield curve construction, and pricing/risk methodologies.
- Familiarity with fixed income products (rates, credit, derivatives).
- Experience collaborating with technology teams to deploy live applications.
- Excellent communication skills to bridge front‑office requirements with technical implementation.
- Ability to discuss PnL attribution with a Trader one minute and explain API requirements to a C# Developer the next.
- Strong problem‑solving ability and comfort working in fast‑paced trading environments.
Quantitative Product Specialist employer: P2P
Contact Detail:
P2P Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Product Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at DRW. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for interviews by brushing up on your quantitative skills and market knowledge. Be ready to discuss how you can blend analytics with trading strategies.
✨Tip Number 3
Showcase your projects! If you've built any tools or models, be sure to talk about them. Real-world examples can set you apart from the crowd.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team.
We think you need these skills to ace Quantitative Product Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Quantitative Product Specialist role. Highlight your quantitative finance background and any relevant programming skills, as we want to see how you can contribute to our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your experience makes you a great fit. We love seeing genuine enthusiasm for what we do at DRW.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in fast-paced environments. We value innovative thinkers who can pivot quickly, so let us know how you've done this in the past!
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, it shows us you're serious about joining our team!
How to prepare for a job interview at P2P
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative finance knowledge. Be ready to discuss models, analytics, and risk management tools in detail. DRW values a strong understanding of market data and pricing methodologies, so be prepared to showcase your expertise.
✨Communicate Like a Pro
Since this role requires bridging the gap between traders and technologists, practice explaining complex concepts in simple terms. You might need to discuss P&L attribution with a trader one minute and API requirements with a developer the next, so clarity is key!
✨Showcase Your Technical Skills
Be ready to demonstrate your programming skills, especially in Python or C++. If you have experience with SQL or time-series analysis, make sure to highlight that too. DRW is looking for someone who can build production-quality tools, so any relevant projects or examples will help.
✨Prepare for Real-World Scenarios
Think about how you would approach vague requests from the trading desk and turn them into clear technical specifications. Practising problem-solving scenarios related to risk and P&L outputs will show that you can think on your feet and adapt to fast-paced environments.
