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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 contract extension.
- Other info: Ideal for those passionate about quantitative finance and looking for career growth.
- 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 80000 - 120000 £ per year.
Find out if this opportunity is a good fit by reading all of the information that follows below.
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 City of Westminster employer: Lancesoft Ltd
Contact Detail:
Lancesoft Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land IMMEDIATE START - 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, webinars, or industry events where you can chat with potential employers or colleagues. 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 development projects. Include examples of pricing algorithms you've written or risk models you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with exotic derivatives, pricing libraries, and any relevant programming languages like Python or Java. Practice explaining complex concepts in simple terms – it shows you really understand your stuff!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s get you that job!
We think you need these skills to ace IMMEDIATE START - Developer in City of Westminster
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 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. 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 makes the process smoother for both of 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 pricing models. Be ready to discuss your experience with production-grade pricing libraries and risk engines, as well as any specific projects you've worked on that relate to the job description.
✨Show Off Your Coding Skills
Since Python and Java are key for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Prepare for Technical Questions
Expect in-depth questions about performance optimisation and low-latency systems. Brush up on your understanding of calibration techniques and stress testing, and be prepared to discuss how you've applied these concepts in real-world scenarios.
✨Communicate Clearly
You’ll need to explain complex mathematical models and pricing papers, so practice breaking down these concepts into simple terms. Being able to communicate your ideas clearly will show that you can support client-facing validation documentation effectively.