Senior Data Scientist - Trading

Overview

Senior Data Scientist - Trading

Department: Technology

Employment Type: Permanent - Full Time

Location: UK - London

Reporting To: Beth Rice

Compensation: £110,000 - £130,000 / year

At Field, we have spent the last few years developing our automated energy trading platform, Gaia. We deployed Gaia to trade in real-time for our first physical asset in GB in early November 2024. We are improving our algorithms all the time, and over the coming years we will be deploying Gaia on more GB assets as well as assets across Europe (Germany, Italy and Spain).

You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more.

This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios.

This is an exciting time to join Field, right at the core of the business. In the next few years our team’s responsibility will expand rapidly as we improve Gaia and deploy it for dozens of assets in the UK and across Europe.

This is a broad and varied role with the opportunity to have massive impact. As part of the team, you will:

• Develop algorithms to trade, forecast and co-optimise revenues across multiple markets
• Be part of the team that manages live trading and physical assets, and provide 24/7 support
• Deploy and maintain real-time, mission-critical software
• Develop the ability to inform and/or override algorithmic decisions in volatile market conditions
• Present trading results to senior management
• Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies
• Drive the development of the product roadmap

A bit about you

• You’re up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call
• You’re a clear,
  impactful communicator
  , able to articulate complex concepts to technical and non-technical audiences
• You thrive in autonomous work environments with a positive and proactive approach
• You’re excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly

We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience.

Essential Skills

• Experience in the UK or European power markets
• Development and deployment of algorithmic trading strategies
• Demonstrable experience drawing conclusions from data to make impactful decisions
• Expert in Python development for data manipulation, analysis, visualisation and more
• Ability to communicate complex topics and results effectively at all levels
• Strong applied probability and statistics knowledge

Desirable Skills

In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following:

• Multiple European power markets (especially Germany, Italy, and/or Spain)
• Advanced numerical methods such as time-series analysis, machine learning, linear programming, or stochastic optimisation/ modelling
• Developing, deploying, and maintaining mission-critical software
• Working in an operational environment

Salary: £110,000 - £130,000

We’re offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. You’ll be awarded shares when you join, which will vest over four years - and as the business grows in size and value, so will your shares!

We value our team’s wellbeing and belonging so we invest approx £5,000 a year on a range of perks, benefits…