At a Glance
- Tasks: Join a dynamic team to develop cutting-edge pricing models and optimise trading strategies.
- Company: Fast-growing digital assets trading firm in London with a collaborative culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting opportunity to work on high-performance systems in a global trading environment.
- Why this job: Make a real impact in the fast-paced world of trading and quantitative finance.
- Qualifications: Strong Java and Python skills, with a background in quantitative disciplines.
The predicted salary is between 80000 - 100000 £ 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. This is a great opportunity to join a successful firm adding headcount as it continues to grow, and to work on highly visible quantitative systems that sit at the core of pricing, hedging and liquidity decisions. 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.
THE ROLE:
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. This is a high-impact position for someone who enjoys applying quantitative thinking to real trading and pricing problems at scale.
KEY RESPONSIBILITIES:
- Build and enhance quantitative pricing, hedging and optimisation models within a high-performance Java framework
- Work alongside quantitative researchers to analyse large datasets and translate research into production-ready solutions
- Use Python for model prototyping, data analysis, signal investigation and backtesting activity
- Develop and improve pricing skew, spread and liquidity optimisation logic
- Design and implement automated hedging strategies, taking into account execution risk, liquidity and market impact
- Support pricing system deployment across distributed, multi-region architecture with a focus on uptime and consistency
- Analyse client trading behaviour, including flow quality, decay and pricing performance, to support more effective pricing decisions
- Contribute to the ongoing evolution of tools and systems used in a live institutional trading environment
REQUIRED - SKILLS/EXPERIENCE:
- Strong Java development experience, ideally 5+ years
- Deep understanding of object-oriented design, concurrency, and high-performance distributed systems
- Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping
- Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems
- Prior experience in client pricing, electronic trading, or a closely related quantitative trading environment
- Exposure to liquid markets such as FX, equities, ETFs or crypto
- Strong academic background in a quantitative discipline such as Mathematics, Physics or Quantitative Finance
- Ability to operate effectively in a role that bridges quantitative modelling and production engineering
DESIRABLE - SKILLS/EXPERIENCE:
- Familiarity with low-latency system optimisation, such as GC tuning or tools/frameworks used in high-performance messaging environments
- Understanding of derivatives pricing and risk management, particularly across products such as futures, forwards, NDFs and CFDs
- KDB+/Q
- Exposure to AWS, Docker and Kubernetes
Quant Developer OTC Pricing employer: James Joseph Associates Limited
As a leading player in the energy sector, our company offers an exceptional work environment that prioritises innovation and employee development. With flexible remote working arrangements and opportunities for site visits to Scotland, we foster a culture of collaboration and growth, ensuring that our engineers are equipped with the skills and support needed to excel in their roles. Join us to be part of a forward-thinking team dedicated to making a meaningful impact in the renewable energy landscape.
Contact Details:
James Joseph Associates Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Quant Developer OTC Pricing
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like James Joseph Associates Limited!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quant Developer OTC Pricing at James Joseph Associates Limited.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like James Joseph Associates Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Quant Developer OTC Pricing at James Joseph Associates Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quant Developer OTC Pricing
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at James Joseph Associates Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at James Joseph Associates Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at James Joseph Associates Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at James Joseph Associates Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.