At a Glance
- Tasks: Join a dynamic team to develop trading algorithms and support live trading operations.
- Company: Field is revolutionizing energy trading with innovative technology and a commitment to sustainability.
- Benefits: Enjoy a competitive salary, hybrid work options, and a generous learning budget.
- Why this job: Be at the forefront of clean energy solutions while making a real impact in trading.
- Qualifications: 3+ years in trading or data science, with expertise in algorithmic strategies and Python.
- Other info: Flexible hours and on-call responsibilities; work from anywhere for a month each year.
The predicted salary is between 110000 - 130000 £ per year.
Senior Data Scientist – Trading
Department: Technology
Employment Type: Permanent – Full Time
Location: UK – London
Reporting To: Beth Rice
Compensation: £110,000 – £130,000 / year
Description
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.
Key Responsibilities
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
Skills, Knowledge & Expertise
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
Job Benefits
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 and wellbeing activities, including regular team socials and events.
Other benefits include:
- Up to 10% company wide bonus based on company performance
- Hybrid working (blend of home and office working to suit individual needs)
- 1 month a year work from anywhere in the world policy
- Private medical cover with Bupa from day one with the option to add family members
- Nest Pension (8% combined contributions) on qualifying earnings
- Fun co-working office space in Shoreditch, London
- Dog friendly office (with some regular furry friends already in the team)
- Free team lunch once a week
- Enhanced parental leave, for all new parents:
- 6 months fully paid primary carer leave
- 3 months fully paid secondary carer leave
- 10 days fully paid leave for fertility treatment
- £2,000 annual learning & development budget to spend on whatever best supports your growth
To 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.
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Senior Data Scientist - Trading employer: Field Energy
Contact Detail:
Field Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Trading
✨Tip Number 1
Familiarize yourself with the UK and European power markets. Understanding the nuances of these markets will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your Python skills, especially in data manipulation and analysis. Being able to showcase your coding abilities during discussions can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with algorithmic trading strategies. Be ready to share specific examples of how you've developed or deployed such strategies in the past.
✨Tip Number 4
Highlight your communication skills. Since you'll be working with both technical and non-technical teams, being able to convey complex concepts clearly is crucial for success in this role.
We think you need these skills to ace Senior Data Scientist - Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in trading, data science, and algorithm development. Emphasize your familiarity with the UK and European power markets, as well as any specific projects that demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities outlined in the job description, particularly your ability to communicate complex concepts effectively.
Showcase Technical Skills: Clearly outline your technical skills, especially in Python and algorithmic trading strategies. Provide examples of how you've used these skills to make impactful decisions in previous roles.
Highlight Flexibility and Teamwork: Since this role requires flexibility in working hours and collaboration with various teams, mention any experiences where you successfully adapted to changing circumstances or worked effectively in a team environment.
How to prepare for a job interview at Field Energy
✨Show Your Passion for Trading
Make sure to express your enthusiasm for trading in the power markets. Share any relevant experiences or projects that demonstrate your commitment and interest in this field.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with algorithmic trading strategies and Python development. Highlight specific examples where you've successfully manipulated and analyzed data to drive impactful decisions.
✨Communicate Clearly
Since the role requires articulating complex concepts to both technical and non-technical audiences, practice explaining your past projects in a clear and concise manner. Use simple language to convey your ideas effectively.
✨Prepare for Operational Scenarios
Given the operational nature of the role, think about how you would handle unplanned or emergency scenarios in trading. Be ready to discuss your problem-solving approach and flexibility in high-pressure situations.