Senior Quantitative Developer

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

When you join EDF Trading you’ll become part of a diverse international team of experts who challenge conventional ideas, test new approaches and think outside the box.

Energy markets evolve rapidly so our team needs to remain agile, flexible and ready to spot opportunities across all the markets we trade in: power, gas, LNG, LPG, oil and environmental products.

EDF Group and our customers all over the world trust that their assets are managed by us in the most effective and efficient manner and are protected through expert risk management. Trading for over 20 years, it’s experience that makes us leaders in the field. Energy is what we do.

Most of all, we value our people. Become part of the team and you will be offered a great range of benefits which include hybrid working, a personal pension plan, private medical and dental insurance, bi-annual health assessment, corporate gym memberships, electric car lease programme, childcare vouchers, cycle to work scheme, season ticket loans, volunteering opportunities and much more. We even provide free fruit to keep you healthy.

Gender balance and inclusion are very high on the agenda at EDF Trading so you will become part of an ever-diversifying family of around 800 colleagues based in London, Paris, Singapore, Tokyo and Houston. Regular social and networking events, both physical and virtual, will ensure that you always feel connected to your colleagues and the business.

Who are we? We are EDF Trading, part of the EDF Group, a world leader in low-carbon sustainable electricity generation partnered with JERA, one of Japan’s largest utilities; the perfect organisation at which to begin or progress your career in the commodities sector.

Join us, make a difference and help shape the future of energy. 

Job Description:

Department

Energy Market Quantitative Analytics (EMQA)

The EMQA team is part of the front office organisation. The purpose of the team is to develop and run systematic strategies and automated execution solutions through research and technical implementation.

Position purpose

Develop, improve and support EMQA’s systems. Our systems are responsible for backtesting and executing live systematic trading strategies and providing algorithms for automated execution solutions.

Main responsibilities

• Work closely with the EMQA team, other analyst teams, traders and the IT and data organizations to contribute to the delivery of ongoing systematic trading and automated execution projects
• Design, implement, and support systems underpinning the activities of the team
• Continuously improve the existing codebase and the core systematic trading framework in particular
• Deliver software to the highest standard and ensure that code is robust, maintainable, and well tested
• Provide software best practise expertise to the team

This list is not exhaustive and may include other tasks assigned by the manager.

Experience required

• A least 5 years’ experience developing software
• Experience building systematic trading systems, automated execution tools or market data processing systems using historical or real time data
• Proven ability to identify and implement the best technological tool for the job
• Ownership of the full software lifecycle including development, automated testing, deployment, and support
• Experience in commodities, financial services, or front office trading beneficial

Technical requirements

Essential requirements:

• C# .NET Core with in depth knowledge of the associated concurrent programming libraries and language constructs (TPL, async/await, low level thread synchronization primitives)
• Sound knowledge of communication protocols (HTTP, TCP, Web Sockets, …) and patterns (request/response, publish/subscribe, …), and their use in the design of robust and performant distributed systems
• Relational database experience
• Event streaming platforms e.g. Kafka
• Web Front end development technologies (Angular preferred)
• Azure DevOps or similar, CI/CD including Git repositories and pipelines
• Ability to write clean, readable, reusable and well tested code

Beneficial requirements:

• Python and its Data Science stack
• Timeseries database technologies

Person specification

• Background in computer science, finance, maths or other quantitative subject
• Hands-on approach, flexible and positive attitude
• Very good collaborator and excellent communication skills
• Attention to detail and strong focus on accuracy of information
• Strong work ethic
• Interest in Finance/Trading

Hours of work:

8.30am – 5.30pm / 40 hours per week, Monday to Friday