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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 innovative trading technology.
- Benefits: Competitive salary, hybrid work model, 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 and Java.
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.
Graduate Trading Technology Developer in London 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 London
✨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 technical interviews by brushing up on your coding skills and quantitative concepts. We recommend practicing with real-world problems, especially in Python and Java, to showcase your expertise.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your skills and interests. Use our website to find roles that match your experience in exotic derivatives and quantitative development.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression. We believe it shows your enthusiasm and professionalism, which can set you apart from other candidates.
We think you need these skills to ace Graduate Trading Technology Developer in London
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 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 hands-on, make sure to highlight your programming skills, particularly in Python and Java. We’re looking for evidence of your ability to write pricing algorithms and validate outputs, so include specific examples where possible!
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 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 few examples from your past work can really help.
✨Showcase Your Coding Skills
Since Python and Java are key for this role, be prepared to demonstrate your coding abilities. We suggest practising coding challenges or even preparing a small project that showcases your expertise in these languages, especially focusing on performance optimisation and low-latency systems.
✨Understand the Market
Familiarise yourself with the current trends in the OTC derivatives market. Being able to discuss recent developments or changes in pricing conventions will show that you’re not just technically skilled but also aware of the broader context in which you’ll be working.
✨Prepare for Client Interactions
Since the role involves client-facing validation documentation, think about how you would explain complex concepts to non-technical stakeholders. Practising clear and concise communication will help you stand out as someone who can bridge the gap between technical and non-technical teams.