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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: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Ideal for those passionate about quantitative engineering and financial markets.
- 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 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.
Graduate Trading Technology Developer in 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 Westminster
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend relevant meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your Python and Java skills, and be ready to discuss your experience with exotic derivatives. We recommend practising coding challenges and discussing your past projects in detail.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your quantitative models and algorithms. We love seeing real-world applications of your skills, so make sure to highlight your best work when you get the chance.
✨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 looking for passionate candidates who fit our culture.
We think you need these skills to ace Graduate Trading Technology Developer in Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in quantitative development and exotic derivatives. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or 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 enthusiasm and a clear understanding of the position, so make it personal and engaging.
Showcase Your Technical Skills: Since this role is hands-on, be sure to highlight your programming skills, especially 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.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at Lancesoft Ltd
✨Know Your Numbers
Make sure you brush up on your quantitative skills and be ready to discuss specific mathematical models and pricing papers. You might be asked to explain your thought process behind certain algorithms, so having a solid grasp of the concepts will help you shine.
✨Showcase Your Coding Skills
Since Python and Java are key for this role, be prepared to demonstrate your coding abilities. You could be asked to solve a problem on the spot or discuss your previous projects. Practising coding challenges related to pricing algorithms can give you an edge.
✨Understand the Market
Familiarise yourself with exotic derivatives and OTC market behaviour. Being able to discuss current trends and how they impact pricing will show that you're not just technically skilled but also have a strong understanding of the industry.
✨Prepare for Technical Questions
Expect in-depth technical questions about performance optimisation and low-latency systems. Think about your past experiences and be ready to share specific examples where you've successfully implemented scalable pricing solutions.