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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 engineering.
- 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.
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.
IMMEDIATE START - Developer in London employer: Lancesoft Ltd
Contact Detail:
Lancesoft Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land IMMEDIATE START - Developer in London
✨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 work! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. We love seeing real examples of your coding prowess and problem-solving skills, so don’t hold back!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals like you, so don’t hesitate to hit that apply button!
We think you need these skills to ace IMMEDIATE START - 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 want to see your technical prowess in action.
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’s super easy – just follow the prompts and submit your materials!
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 in detail. The more you can demonstrate your expertise, the better!
✨Show Off Your Coding Skills
Since Python is the preferred language, be prepared to showcase your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that demonstrates your understanding of quantitative development.
✨Prepare for Technical Questions
Expect deep technical questions about calibration techniques, stress testing, and market behaviour. Think through how you would explain complex mathematical models and pricing papers clearly and concisely, as this will show your ability to communicate effectively.
✨Bring Real-World Examples
Have some concrete examples from your past work ready to discuss. Whether it's a challenging project or a successful implementation, being able to talk about your hands-on experience will help you stand out as a strong candidate.