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- Tasks: Develop and validate pricing algorithms for exotic OTC derivatives in a hands-on role.
- Company: Leading financial firm in London with a hybrid work model.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Ideal for those passionate about numerical accuracy and production efficiency.
- Why this job: Join a dynamic team and make an impact in the world of quantitative finance.
- Qualifications: 15-20 years of experience in quantitative development and strong programming skills in Python or Java.
The predicted salary is between 80000 - 100000 £ per year.
Location: London, UK (Hybrid)
Duration: 12 Months+ Extendable contract
Looking for a highly senior hands-on Quantitative Engineer / Quant Developer with strong experience in Exotic OTC Derivatives pricing and risk modelling. This is a pure hands-on individual contributor role and not suitable for managerial, architecture-only, or research-focused candidates.
Should have around 15-20+ years of experience in quantitative development with strong exposure to production-grade pricing libraries, risk engines, calibration frameworks, and exotic payoff models across asset classes such as Equity, Rates, FX, and Commodities.
Need someone who can independently write pricing algorithms, validate quantitative outputs, and explain the mathematical models and pricing papers in detail. The candidate should be capable of verifying pricing numbers against market standards and supporting client-facing validation documentation.
Python is the preferred primary programming language, while strong Java experience is also highly preferred because the team works primarily in a Java-based environment. Candidates with C++ background can also be considered if they have strong quantitative engineering experience.
Requires strong experience in performance optimization, scalable pricing implementations, and low-latency quantitative systems. This role requires both numerical accuracy and production efficiency.
The candidate should have deep understanding of exotic derivatives, OTC market behaviour, pricing conventions, curve frameworks, sensitivities, calibration techniques, stress testing, and real-world quantitative modelling constraints.
Candidates with a Master’s or PhD in Mathematics, Physics, Engineering, Computer Science, or related fields are preferred. However, strong commercial experience can compensate for the absence of a PhD.
Senior Quantitative Developer employer: Employer near you
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StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups, webinars, or industry events where you can chat with potential employers or colleagues. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative development projects, especially those involving exotic derivatives and pricing algorithms. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Java skills. Practice coding challenges related to quantitative finance and be ready to explain your thought process. Remember, they want to see how you tackle problems in real-time!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team at StudySmarter.
We think you need these skills to ace Senior Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative development, especially with exotic OTC derivatives. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing candidates who can articulate their passion for quantitative engineering and how their background makes them a strong contender.
Showcase Your Technical Skills: Since this role is hands-on, make sure to highlight your programming skills, particularly in Python and Java. We’re looking for someone who can write pricing algorithms and validate outputs, so include any relevant technical projects or experiences that demonstrate your expertise.
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 gives you a chance to explore more about StudySmarter and what we stand for!
How to prepare for a job interview at Employer near you
✨Know Your Numbers
Make sure you brush up on your quantitative skills and be ready to discuss specific examples of your work with exotic OTC derivatives. Be prepared to explain your pricing algorithms and how they align with market standards.
✨Showcase Your Coding Skills
Since Python and Java are key for this role, practice coding problems in these languages. You might be asked to write a snippet or solve a problem on the spot, so being comfortable with both will give you an edge.
✨Understand the Market
Familiarise yourself with current trends in the OTC market and be ready to discuss how they impact pricing and risk modelling. Showing that you’re up-to-date will demonstrate your passion and commitment to the field.
✨Prepare for Technical Questions
Expect deep dives into your understanding of calibration techniques, stress testing, and performance optimisation. Prepare to explain complex concepts clearly, as you may need to validate your quantitative outputs during the interview.