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- Tasks: Develop and enhance trading models using Python and Java in a fast-paced environment.
- Company: High-growth institutional trading business in the digital assets market.
- Benefits: Competitive salary, dynamic work culture, and opportunities for professional growth.
- Other info: Work in a 24/7 global trading environment with excellent career advancement potential.
- Why this job: Join a cutting-edge team solving real market problems with innovative technology.
- Qualifications: Experience in quantitative development and strong programming skills in Python and Java.
The predicted salary is between 70000 - 90000 £ per year.
A high-growth institutional trading business in the digital assets market is expanding its London team and hiring a Quant Developer to join its OTC pricing function. The role offers a rare blend of quantitative research partnership and hands-on production engineering, making it ideal for someone who enjoys solving real market problems in a fast-paced trading environment.
This is a senior-level quant development role within the OTC pricing team, focused on turning quantitative ideas into robust, production-grade trading and pricing solutions. The successful candidate will work very closely with quantitative researchers, contributing not only to implementation but also to the design and refinement of pricing and liquidity models.
The role combines research-oriented modelling in Python with production engineering in Java. You will use Python to analyse data, test ideas and support model development, while using Java to build and enhance high-performance pricing infrastructure used in a live, global trading environment.
You will be involved in the development of pricing logic, flow analysis, spread optimisation and automated hedging tools. The role also includes working on distributed systems challenges in a 24/7 multi-region environment, where reliability, consistency and performance are critical.
- Build and enhance quantitative pricing, hedging and optimisation models within a high-performance Java framework
- Use Python for model prototyping, data analysis, signal investigation and backtesting activity
- Design and implement automated hedging strategies
Trading Quantitative Developer employer: James Joseph Associates Limited
Contact Detail:
James Joseph Associates Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Quantitative Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and Java. This will give potential employers a taste of what you can do and how you tackle real market problems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding quantitative models. Practice common algorithms and data structures, and be ready to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to highlight your experience in trading and quantitative development.
We think you need these skills to ace Trading Quantitative Developer
Some tips for your application 🫡
Show Your Quant Skills: Make sure to highlight your quantitative skills and experience in your application. We want to see how you've tackled real market problems before, so share specific examples of your work with pricing models or trading strategies.
Tailor Your CV: Don’t just send out the same CV for every job. Tailor it to this role by emphasising your experience with Python and Java, especially in a trading context. We love seeing candidates who can connect their past experiences directly to what we do here at StudySmarter.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We appreciate enthusiasm and a clear understanding of our business, so let your personality come through!
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 shows you’re serious about joining our team!
How to prepare for a job interview at James Joseph Associates Limited
✨Know Your Tech Stack
Make sure you’re well-versed in both Python and Java, as these are crucial for the role. Brush up on your coding skills and be ready to discuss how you've used these languages in past projects, especially in relation to quantitative modelling and production engineering.
✨Understand the Market
Familiarise yourself with the digital assets market and current trends in trading. Being able to discuss recent developments or challenges in the industry will show that you're not just a tech whiz but also have a solid grasp of the market dynamics.
✨Prepare for Problem-Solving Questions
Expect to tackle real-world problems during the interview. Practice explaining your thought process when solving complex issues, particularly those related to pricing logic and flow analysis. This will demonstrate your analytical skills and ability to think on your feet.
✨Showcase Your Collaboration Skills
Since the role involves working closely with quantitative researchers, be prepared to discuss your experience in collaborative environments. Highlight any projects where you’ve successfully partnered with others to develop models or solutions, emphasising communication and teamwork.