At a Glance
- 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 development.
- Benefits: Hybrid work model, competitive salary, and opportunities for contract extension.
- Other info: Ideal for those passionate about quantitative engineering and looking for career growth.
- Why this job: Join a dynamic team and make an impact in the world of finance with your expertise.
- Qualifications: 15-20 years in quantitative development with strong programming skills in Python and Java.
The predicted salary is between 80000 - 100000 € per year.
Looking for a highly senior hands-on Quantitative Engineer/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. Must be able to 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. C++ background can also be considered if the candidate has strong quantitative engineering experience.
Requires strong experience in performance optimisation, scalable pricing implementations, and low-latency quantitative systems. This role requires both numerical accuracy and production efficiency. The candidate should have a 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, though strong commercial experience can compensate for the absence of a PhD.
Senior Quantitative Developer in City of Westminster employer: LanceSoft Inc
As a Senior Quantitative Developer in London, you will join a dynamic and innovative team that values expertise and hands-on contributions. The company fosters a collaborative work culture, offering flexible hybrid working arrangements and opportunities for professional growth in a fast-paced environment. With a focus on cutting-edge technology and quantitative excellence, this role provides a unique chance to work on complex financial models while being supported by a team of seasoned professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Developer in City of Westminster
✨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 work with pricing algorithms and risk models. This is your chance to demonstrate your expertise in Python, Java, or C++. Make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of exotic derivatives and market behaviour. Be ready to discuss your experience with calibration techniques and stress testing. Confidence in your technical skills will set you apart!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Senior Quantitative Developer in City of Westminster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your extensive experience in quantitative development, especially with exotic OTC derivatives. We want to see how your skills align with the job description, so don’t hold back on 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 hands-on role. We love seeing candidates who can articulate their understanding of pricing algorithms and risk modelling, so make it personal and engaging.
Showcase Your Technical Skills:Since this role requires strong programming skills, be sure to mention your proficiency in Python and Java. If you’ve worked on performance optimisation or low-latency systems, we want to hear about it! Include specific examples that demonstrate your technical prowess.
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 LanceSoft Inc
✨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 developed and how they work. The interviewers will want to see that you can explain complex mathematical models clearly.
✨Show Off Your Coding Skills
Since Python is the preferred language, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code. If you have experience in Java or C++, don’t forget to mention it!
✨Prepare for Real-World Scenarios
Think about how you would verify pricing numbers against market standards. Be ready to discuss past experiences where you had to validate quantitative outputs or support client-facing documentation. Real-world examples will make your answers stand out.
✨Understand the Market Dynamics
Familiarise yourself with current trends in the OTC market and how they affect pricing conventions. Being able to discuss these dynamics will show that you’re not just technically skilled but also understand the broader context of your work.
