Lead Rates Quantitative Researcher in London

Lead Rates Quantitative Researcher in London

London Full-Time 80000 - 120000 £ / year (est.) No working from home possible
Stanford Black

At a Glance

  • Tasks: Lead a team to develop pricing models and risk systems for live trading.
  • Company: Join a billion-dollar hedge fund in the heart of London.
  • Benefits: Competitive salary, flexible work-from-home options, and career growth.
  • Other info: Collaborative environment with opportunities to mentor and lead.
  • Why this job: Make a real impact in global macro markets with cutting-edge technology.
  • Qualifications: Senior experience in rates/macro quant and strong C++ skills required.

The predicted salary is between 80000 - 120000 £ per year.

Location: London

WFH: 4 Days in the office per week

Overview: I'm working with a billion-dollar hedge fund in London, currently on the search for a Lead Rates Quantitative Researcher to head up a small team within its Macro Technology group. Sitting directly with senior Portfolio Managers, you’ll own the core rates analytics stack used in live trading, building pricing models, curve frameworks, and real-time P&L/risk systems that directly drive positioning across global macro markets. This is a senior build role with full ownership across research and production, combining hands-on modelling with team leadership in a high-impact front-office environment.

Responsibilities:

  • Lead a small team of rates quants
  • Own pricing, curve construction, and risk models across rates & macro products
  • Build real-time P&L and risk systems used by PMs in live trading
  • Develop production-grade research tools and macro data frameworks
  • Work directly with PMs to translate ideas into trading infrastructure
  • Contribute to a high-performance C++ (C++17/20) analytics stack

Requirements:

  • Senior Rates / Macro quant experience in a front-office environment
  • Strong C++ (production) + Python for research
  • Deep knowledge of rates products, curve construction, and pricing
  • Experience building live risk / P&L systems
  • Prior interaction with PMs/trading desks
  • Leadership or mentoring experience preferred

Please contact daniel.mclagan@stanfordblack.com for more information.

If this role isn’t quite right for you but you know someone who might be a good fit, we offer a market-leading referral scheme for successful introductions. T&Cs apply.

Lead Rates Quantitative Researcher in London employer: Stanford Black

Join a billion-dollar hedge fund in London that champions innovation and excellence, offering a dynamic work culture where your contributions directly impact global macro markets. With a strong focus on employee growth, you will have the opportunity to lead a talented team while developing cutting-edge analytics tools in a collaborative environment. Enjoy the unique advantage of working closely with senior Portfolio Managers, all while benefiting from a flexible work-from-home policy that promotes work-life balance.

Stanford Black

Contact Details:

Stanford Black Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Rates Quantitative Researcher in London

Tip Number 1

Network like a pro! Reach out to your connections in the finance and quant space. Attend industry events or webinars where you can meet potential employers or colleagues. Remember, it’s all about who you know!

Tip Number 2

Showcase your skills! Create a portfolio of your projects, especially those involving C++ and Python. Share your insights on platforms like LinkedIn or GitHub. This will help you stand out and demonstrate your expertise in rates and macro products.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with pricing models and risk systems. Practice common quant interview questions to boost your confidence!

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by hiring managers who are looking for top talent like you!

We think you need these skills to ace Lead Rates Quantitative Researcher in London

C++ (C++17/20)
Python
Rates Products Knowledge
Curve Construction
Pricing Models
Risk Modelling
Real-time P&L Systems

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Lead Rates Quantitative Researcher role. Highlight your experience with rates products, C++, and Python, as well as any leadership roles you've had. We want to see how your skills match what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you the perfect fit. Don’t forget to mention your experience in a front-office environment and your ability to work directly with PMs.

Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. Whether it's building pricing models or developing risk systems, we want to see concrete examples of your work that demonstrate your expertise and impact.

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Stanford Black

Know Your Rates Inside Out

Make sure you brush up on your knowledge of rates products, curve construction, and pricing models. Be prepared to discuss specific examples from your past experience where you've successfully built or improved these systems.

Showcase Your C++ Skills

Since strong C++ skills are a must for this role, be ready to demonstrate your proficiency. You might be asked to solve a coding problem or explain your approach to building production-grade systems, so practice articulating your thought process clearly.

Prepare for Team Leadership Questions

As this role involves leading a small team, expect questions about your leadership style and mentoring experience. Think of examples where you've successfully guided a team or resolved conflicts, and be ready to share how you foster collaboration.

Engage with Portfolio Managers' Needs

Since you'll be working directly with PMs, show that you understand their priorities. Prepare to discuss how you've translated ideas into trading infrastructure in the past, and think about how you can contribute to their success in live trading.