Front Office Quant Developer

Senior Quantitative Developer. Energy Trading. £125,000- £130,000 + Discretionary Bonus and Benefits. Hybrid 3 Days a week in London office.
This role is in a front office Energy Market Quantitative Analytics Team. The purpose of the team is to develop and run systematic strategies and automated execution solutions through research and technical implementation.

The role is to Develop, improve and support my clients systems. Their systems are responsible for back testing and executing live systematic trading strategies and providing algorithms for automated execution solutions.

Main Responsibilities
Work closely with the Energy Markets Quantitative Analytics 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

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 ( 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

If you are interested and to learn more, please send a CV for immediate consideration.