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For Companies 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 ambitious growth plans.
- Benefits: Enjoy a competitive salary, hybrid work options, and a generous learning budget.
- Why this job: Make a real impact in the energy sector while working with cutting-edge technology and a passionate team.
- Qualifications: 3+ years in trading or data science, with expertise in algorithmic strategies and Python.
- Other info: Flexible hours, on-call responsibilities, and a fun, dog-friendly office in Shoreditch.
The predicted salary is between 110000 - 130000 £ per year.
This job is brought to you by Jobs/Redefined, the UK\’s leading over-50s age inclusive jobs board.
Senior Data Scientist – Trading
Department: Technology
Employment Type: Permanent – Full Time
Location: UK – London
Reporting To: Beth Rice
Compensation: GBP 110,000 – GBP 130,000 / year
Description
At Field, we have developed Gaia, an automated energy trading platform. Since its deployment in November 2024 for our first physical asset in GB, we continually improve our algorithms. Over the coming years, Gaia will be deployed on more GB assets and across Europe (Germany, Italy, Spain).
You will be part of a small, dynamic team of certified power traders, influencing revenue growth. You will collaborate with platform engineers, data scientists, executives, and commercial teams.
This role requires flexibility in working hours and participation in an on-call rotation, as the energy market operates 24/7, 365 days a year, especially for emergency response and unplanned scenarios.
Key Responsibilities
- Develop algorithms for trading, forecasting, and revenue co-optimization across multiple markets
- Manage live trading and physical assets, providing 24/7 support
- Deploy and maintain mission-critical real-time software
- Inform and override algorithms in volatile market conditions
- Present trading results to senior management
- Identify gaps in trading strategies through backtesting and competitor analysis, then improve them
- Contribute to product roadmap development
Skills, Knowledge & Expertise
A bit about you
- Prepared for an operational role involving power market trading, with flexibility for on-call duties
- Effective communicator, capable of explaining complex concepts to technical and non-technical audiences
- Autonomous, proactive, and positive approach to work
- Enthusiastic about learning new and complex topics quickly
Candidates from backgrounds such as Trading, Data Science, Data Analytics, Operations Research, or related fields with at least 3 years of experience are encouraged to apply.
Essential Skills
- Experience with UK or European power markets
- Development and deployment of algorithmic trading strategies
- Data-driven decision making
- Proficiency in Python for data analysis, visualization, and manipulation
- Effective communication of complex topics
- Strong knowledge of probability and statistics
Desirable Skills
Additional expertise in the following areas is a plus:
- European power markets (Germany, Italy, Spain)
- Advanced numerical methods (time-series analysis, machine learning, linear programming, stochastic optimization)
- Developing and maintaining mission-critical software
- Operational environment experience
Job Benefits
Salary: GBP 110,000 – GBP 130,000
Includes participation in an employee share scheme, wellbeing investments, and various perks such as:
- Up to 10% performance bonus
- Hybrid working arrangement
- Work from anywhere policy for one month annually
- Private medical insurance from day one
- Nest Pension (8%)
- Office in Shoreditch, London, dog-friendly environment
- Weekly team lunches
- Enhanced parental leave policies
- GBP 2,000 annual learning & development budget
At Field, we\’re committed to building renewable infrastructure and leading Europe\’s clean energy transition, aiming to demonstrate the viability of batteries now, not in the future, with ambitious expansion plans beyond batteries into new assets.
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Senior Data Scientist - Trading employer: FIELD
Contact Detail:
FIELD 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 ability to communicate complex concepts clearly. Practice explaining technical topics in simple terms, as this skill is crucial for collaborating with both technical and non-technical team members.
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
✨Show Your Passion for Trading
Make sure to express your enthusiasm for trading in the power markets. Discuss 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 projects where you successfully manipulated and analyzed data to drive impactful decisions.
✨Communicate Clearly
Practice articulating complex concepts in a way that is understandable to both technical and non-technical audiences. This will showcase your ability to communicate effectively, which is crucial for this role.
✨Prepare for Operational Scenarios
Since this role involves being on-call and responding to emergency scenarios, think of examples from your past experiences where you had to make quick decisions under pressure. Be ready to discuss how you handled those situations.
