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- Tasks: Develop and validate pricing algorithms for exotic derivatives in a hands-on role.
- Company: Leading financial firm in London with a focus on quantitative development.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Ideal for those passionate about finance and technology, with excellent career advancement potential.
- Why this job: Join a dynamic team and make an impact in the world of finance with your coding skills.
- Qualifications: 15-20 years in quantitative development; strong Python and Java skills required.
The predicted salary is between 80000 - 100000 £ per year.
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 Tech Developer in Westminster employer: Lancesoft Ltd
Contact Detail:
Lancesoft Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Tech Developer in Westminster
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. We recommend practising common interview questions and even doing mock interviews with friends or colleagues to boost your confidence.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your work, especially if you’ve developed pricing algorithms or risk models. We want to see your skills in action, so don’t hesitate to share your GitHub or any relevant projects when you apply.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive roles listed there, so keep an eye out for opportunities that match your skill set.
We think you need these skills to ace Senior Tech Developer in Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in quantitative development, especially with exotic OTC derivatives. We want to see how your skills match 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 aligns with our needs.
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 specific examples of your technical 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 shows you’re proactive and keen on joining our team!
How to prepare for a job interview at Lancesoft Ltd
✨Know Your Stuff
Make sure you brush up on your knowledge of exotic OTC derivatives and pricing models. Be ready to discuss your experience with production-grade pricing libraries and risk engines, as well as any specific algorithms you've developed. This is a hands-on role, so demonstrating your technical expertise is crucial.
✨Showcase Your Coding Skills
Since Python and Java are key languages for this position, prepare to talk about your coding experience in these areas. You might even be asked to solve a coding problem during the interview, so practice writing clean, efficient code that showcases your understanding of performance optimisation and low-latency systems.
✨Explain Your Thought Process
When discussing your past projects, focus on how you approached problems and validated your quantitative outputs. Be prepared to explain your mathematical models and how you verified pricing numbers against market standards. This will show your depth of understanding and ability to communicate complex concepts clearly.
✨Prepare for Client-Facing Scenarios
Since the role involves supporting client-facing validation documentation, think about times when you've had to explain technical concepts to non-technical stakeholders. Practise articulating your thought process and findings in a way that's accessible, as this will demonstrate your ability to bridge the gap between technical and non-technical audiences.