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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 focus on quantitative engineering.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Ideal for those passionate about quantitative finance and looking for a challenging role.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of finance.
- Qualifications: 15-20 years in quantitative development with strong programming skills in Python and Java.
The predicted salary is between 90000 - 120000 £ 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 in London employer: Lancesoft Ltd
Contact Detail:
Lancesoft Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Developer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to quantitative development. 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 models, pricing algorithms, and any relevant projects. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Java skills. Practice coding challenges that focus on quantitative problems. Being sharp in these areas will set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Quantitative Developer in London
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. If you’ve worked on performance optimisation or low-latency systems, let us know! We’re keen to see how you can contribute to our team.
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 don’t miss out on any important updates. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Lancesoft Ltd
✨Know Your Quantitative Stuff
Make sure you brush up on your knowledge of exotic OTC derivatives and risk modelling. Be ready to discuss specific pricing algorithms you've worked on and how they relate to the role. The interviewers will want to see that you can explain complex mathematical models clearly.
✨Show Off Your Coding Skills
Since Python and Java are key for this role, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your previous projects. Bring examples of your work that showcase your experience with production-grade pricing libraries and low-latency systems.
✨Prepare for Technical Questions
Expect in-depth technical questions about performance optimisation and calibration techniques. Think about how you would verify pricing numbers against market standards and be ready to discuss your approach to stress testing and real-world modelling constraints.
✨Communicate Clearly
This role involves client-facing validation documentation, so practice explaining your quantitative outputs in a way that's easy to understand. Being able to communicate complex ideas simply is just as important as your technical skills.