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- Tasks: Develop analytics and models to support trading and risk management in a dynamic environment.
- Company: Join 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: Make an impact by blending quantitative analysis with hands-on tool development.
- Qualifications: Experience in quantitative finance and strong programming skills are essential.
- Other info: Collaborate with diverse teams and thrive in a fast-paced trading atmosphere.
The predicted salary is between 36000 - 60000 £ per year.
Job Location: London
Employment type: Regular
Department: Technology
Targeted Start Date: Immediate
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 Specialist 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: DRW
Contact Detail:
DRW 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. Use LinkedIn to connect and engage with them. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for those interviews by brushing up on your quantitative skills and market knowledge. Be ready to discuss your past experiences and how they relate to the role of a Quantitative Product Specialist. Practice makes perfect!
✨Tip Number 3
Showcase your technical skills! If you’ve built any tools or models, be sure to highlight them during your conversations. Demonstrating your hands-on experience can really set you apart from other candidates.
✨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, it shows you’re genuinely interested in joining the team at DRW.
We think you need these skills to ace Quantitative Product Specialist
Some tips for your application 🫡
Show Your Quantitative Skills: Make sure to highlight your quantitative finance background and any relevant experience in your application. We want to see how you've applied your skills in real-world scenarios, especially in front-office roles.
Tailor Your Application: Don’t just send a generic CV and cover letter! Tailor your application to reflect the specific requirements of the Quantitative Product Specialist role. Mention your experience with tools and technologies that align with what we’re looking for.
Be Clear and Concise: When describing your past experiences, be clear and concise. Use bullet points to make it easy for us to read through your achievements and skills. We appreciate straightforward communication!
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 you’re keen on joining our team!
How to prepare for a job interview at DRW
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative finance knowledge. Be ready to discuss models, analytics, and risk management tools. They’ll want to see that you can talk the talk with traders and researchers, so don’t shy away from diving into specifics.
✨Show Off Your Tech Skills
Since this role involves a lot of collaboration with tech teams, be prepared to showcase your programming skills. Bring examples of tools you've built or projects you've worked on, especially in Python or C++. This will demonstrate your ability to translate complex requirements into practical solutions.
✨Communicate Clearly
You’ll need to bridge the gap between front-office needs and technical implementation. Practice explaining complex concepts in simple terms. Think about how you would describe a vague request from a trader to a developer—clarity is key!
✨Prepare for Problem-Solving Questions
Expect some scenario-based questions that test your problem-solving abilities. They might ask how you would handle discrepancies in P&L outputs or how to improve existing tools. Think through your past experiences and be ready to share your thought process.
