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- Tasks: Lead a team in developing advanced pricing and risk models for global markets.
- Company: Join a leading provider of financial market infrastructure in London.
- Benefits: Competitive salary, benefits, and opportunities for professional growth.
- Why this job: Make a real impact in quantitative finance with your cutting-edge research.
- Qualifications: MSc/PhD in Maths, Stats, or CS; strong C++ skills required.
- Other info: Collaborative environment with mentorship opportunities and global reach.
The predicted salary is between 43200 - 72000 £ per year.
Join a growing Quant Research team in London – driving advanced pricing, volatility, and risk models that power a leading provider of exchanges, clearing houses, and financial market infrastructure across global markets. Here, your research won’t stay on paper. You’ll be designing and implementing cutting-edge models, and translating them into production-grade C++ code used every day in markets from equities to commodities. It’s high-impact work at scale, with a global reach. You’ll collaborate with teams across business lines, mentor colleagues, and help shape the future of quantitative finance.
What we’re looking for:
- MSc/PhD in Maths, Stats, CS or similar
- Deep knowledge of stochastic calculus & probability theory
- Strong C++ (with Python a plus)
- Experience in options pricing, ML or data analytics? Even better.
If you want to work on high-impact quant modelling at scale – and see your code drive real-world markets – please get in touch to discuss further.
Lead Quant Researcher – Global Markets in London employer: Barclay Simpson
Contact Detail:
Barclay Simpson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Quant Researcher – Global Markets in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and quant research space. Attend industry events or webinars, and don’t be shy about introducing yourself. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C++ and quantitative models. We want to see your work in action, so make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common quant interview questions and coding challenges. The more prepared you are, the more confident you’ll feel when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us. Let’s get you on board!
We think you need these skills to ace Lead Quant Researcher – Global Markets in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your MSc/PhD and relevant experience in Maths, Stats, or CS. We want to see how your skills align with the role, so don’t be shy about showcasing your knowledge of stochastic calculus and C++.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about quantitative finance and how your background makes you a perfect fit for our team. Be specific about your experience with options pricing or data analytics if you have it.
Showcase Your Projects: If you've worked on any cutting-edge models or projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to advanced pricing or risk models.
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 growing Quant Research team!
How to prepare for a job interview at Barclay Simpson
✨Know Your Maths and Stats
Brush up on your knowledge of stochastic calculus and probability theory. Be ready to discuss how these concepts apply to real-world scenarios in quantitative finance, as this will show your depth of understanding and ability to think critically.
✨Showcase Your Coding Skills
Prepare to demonstrate your C++ skills during the interview. You might be asked to solve a coding problem or explain your previous projects. Make sure you can articulate your thought process clearly and highlight any experience with Python as a bonus.
✨Understand the Business Impact
Familiarise yourself with how quant models influence trading and risk management in global markets. Being able to connect your technical skills to business outcomes will impress interviewers and show that you’re not just a number cruncher but a strategic thinker.
✨Be Ready to Collaborate
Since the role involves mentoring and collaborating with teams, prepare examples of past teamwork experiences. Highlight how you’ve contributed to group projects and helped others grow, as this will demonstrate your leadership potential and team spirit.
