Senior Data Scientist - TradingField Energy • City of London, England, United Kingdom

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Senior Data Scientist - Trading

Field Energy

+2
+5
City of London, England, United Kingdom

+2
+5
City of London, England, United Kingdom

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OverviewSenior Data Scientist - TradingDepartment: TechnologyEmployment Type: Permanent - Full TimeLocation: UK - LondonReporting To: Beth RiceCompensation: £110,000 - £130,000 / yearAt 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.Key ResponsibilitiesThis 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 marketsBe part of the team that manages live trading and physical assets, and provide 24/7 supportDeploy and maintain real-time, mission-critical softwareDevelop the ability to inform and/or override algorithmic decisions in volatile market conditionsPresent trading results to senior managementIdentify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategiesDrive the development of the product roadmapSkills, Knowledge & ExpertiseA bit about youYou’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-callYou’re a clear, impactful communicator, able to articulate complex concepts to technical and non-technical audiencesYou thrive in autonomous work environments with a positive and proactive approachYou’re excited to learn - you enjoy learning about new and complex topics and are able to pick them up quicklyWe 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 SkillsExperience in the UK or European power marketsDevelopment and deployment of algorithmic trading strategiesDemonstrable experience drawing conclusions from data to make impactful decisionsExpert in Python development for data manipulation, analysis, visualisation and moreAbility to communicate complex topics and results effectively at all levelsStrong applied probability and statistics knowledgeDesirable SkillsIn 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/ modellingDeveloping, deploying, and maintaining mission-critical softwareWorking in an operational environmentJob BenefitsSalary: £110,000 - £130,000We’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 and wellbeing activities, including regular team socials and events.Other benefits includeUp to 10% company wide bonus based on company performanceHybrid working (blend of home and office working to suit individual needs)1 month a year work from anywhere in the world policyPrivate medical cover with Bupa from day one with the option to add family members.Nest Pension (8% combined contributions) on qualifying earningsFun co-working office space in Shoreditch, LondonDog friendly office (with some regular furry friends already in the team)Free team lunch once a weekEnhanced parental leave, for all new parents:6 months fully paid primary carer leave3 months fully paid secondary carer leave10 days fully paid leave for fertility treatment£2,000 annual learning & development budget to spend on whatever best supports your growthTo reach Net Zero, we need to solve big challenges. Field will fund, build and run the renewable infrastructure we need to tackle these challenges. At Field, we will show that batteries are a totally viable part of our energy infrastructure - now, not in some distant future.And, we have ambitious plans to become the defining new clean energy player in Europe over the next few years, gradually expanding beyond batteries into new asset types. #J-18808-Ljbffr

Wünschenswerte Fähigkeiten

Algorithmic Trading
Data Analysis
Linear Programming
Machine Learning
Python

City of London, England, United Kingdom

Berufserfahrung

Machine Learning
Data Scientist

Sprachkenntnisse

English

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