Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and validate pricing algorithms for exotic derivatives in a hands-on role.
- Company: Leading financial firm in London with a focus on innovative trading technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Ideal for those passionate about quantitative finance and looking for a challenging role.
- 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 - 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.
Graduate Trading Technology 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 Graduate Trading Technology Developer in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend relevant meetups. 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 to boost your confidence.
✨Tip Number 3
Showcase your skills through personal projects or contributions to open-source. This is a great way to demonstrate your expertise in Python, Java, or C++. We love seeing candidates who take initiative and can back up their claims with real-world examples.
✨Tip Number 4
Don’t forget to 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 passionate individuals who fit our culture and values.
We think you need these skills to ace Graduate Trading Technology 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 align with the job description, so don’t be shy about showcasing 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 all about hands-on development, 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’re keen to hear about it!
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 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 worked on and how they relate to market standards. This is your chance to show off your expertise!
✨Show Off Your Coding Skills
Since Python and Java are key for this role, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your understanding of performance optimisation.
✨Prepare for Technical Questions
Expect in-depth questions about calibration techniques, stress testing, and quantitative modelling constraints. Think about real-world scenarios where you've applied these concepts and be ready to explain your thought process clearly.
✨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 effectively with both technical and non-technical stakeholders is crucial in this role.