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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 hybrid work model.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Ideal for those passionate about finance and advanced mathematical modelling.
- Why this job: Join a dynamic team and make an impact in the world of quantitative finance.
- Qualifications: 15-20 years in quantitative development with strong programming skills in Python or Java.
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 Academic Developer in Westminster employer: Lancesoft Ltd
Contact Detail:
Lancesoft Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Academic 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. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in quantitative development. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, demonstrate your hands-on experience with pricing algorithms and risk modelling. This will give potential employers a clear view of your capabilities and how you can add value to their team.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and experience. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Senior Academic 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 any relevant examples or projects that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 risk modelling. Be ready to discuss specific pricing algorithms you've developed and how they work. This is a hands-on role, so demonstrating your technical expertise will be key.
✨Showcase Your Coding Skills
Since Python and Java are the primary languages used, prepare to talk about your experience with both. You might even be asked to solve a coding problem on the spot, so practice writing clean, efficient code that showcases your quantitative skills.
✨Understand Market Standards
Be prepared to explain how you verify pricing numbers against market standards. Discuss any tools or frameworks you've used for calibration and stress testing, as this will show your practical understanding of the role's requirements.
✨Communicate Clearly
You’ll need to explain complex mathematical models and pricing papers in a way that’s easy to understand. Practice articulating your thought process and findings clearly, as strong communication skills are just as important as technical prowess in this role.