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For Companies At a Glance
- Tasks: Join our Gas and Power Trading team to build impactful data models.
- Company: BlueCrest Capital Management is a leading firm in commodities trading.
- Benefits: Enjoy a permanent, full-time role with opportunities for growth and development.
- Why this job: Make a real impact on trading decisions while working in a dynamic environment.
- Qualifications: 2+ years of coding experience and a degree in Maths, Stats, or related fields required.
- Other info: Be part of an inclusive workplace that values diversity and equal opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Location: London
Type: Permanent, Full-time
Overview of the team/department:
The Commodities business focuses on trading metals, oil, gas, power, agriculture, and soft commodities. We are building a large team trading European energy, reporting to a senior Portfolio Manager.
Role requirements:
We are looking for a Data Scientist to join our high-performing Gas and Power Trading team. You’ll work directly alongside traders and analysts to build, maintain, and improve models that directly impact trading decisions. This is a hands-on, high-impact role where you’ll own the full lifecycle of data-driven models — from design and prototyping to deployment and monitoring.
- Minimum 2+ years of coding and modelling experience.
- Candidates will be given a coding/data science project early in the interview process and should be prepared to dedicate time to complete this.
Experience required:
- Bachelor’s/Master’s/PhD in Maths, Statistics, Physics, Computer Science, or related fields from a leading university.
- Extensive modelling skills in Python.
- Professional experience in data science/statistics is preferred.
BlueCrest is committed to providing an inclusive environment for its workforce. We provide equal opportunities regardless of gender, marital or civil partnership status, race, religion, ethnicity, disability, age, sexual orientation, or nationality.
Data Scientist – Energy Trading employer: BlueCrest Capital Management
Contact Detail:
BlueCrest Capital Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Energy Trading
✨Tip Number 1
Familiarise yourself with the specific data science tools and techniques used in energy trading. Understanding how to apply machine learning models to predict market trends in gas and power will give you a significant edge during interviews.
✨Tip Number 2
Prepare for the coding/data science project by brushing up on your Python skills. Make sure you can demonstrate your ability to build and deploy models efficiently, as this will be a key focus during the interview process.
✨Tip Number 3
Network with professionals in the energy trading sector. Engaging with current employees or attending industry events can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 4
Stay updated on current trends in the energy market. Being knowledgeable about recent developments and how they affect trading decisions will not only impress your interviewers but also show your genuine interest in the role.
We think you need these skills to ace Data Scientist – Energy Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly any work related to energy trading or commodities. Emphasise your coding and modelling skills in Python, as well as any projects that demonstrate your ability to build and maintain data-driven models.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the Data Scientist role at BlueCrest Capital Management. Discuss how your background in Maths, Statistics, or Computer Science aligns with their requirements, and mention specific examples of your previous work that relate to the energy sector.
Prepare for the Coding Project: Since candidates will be given a coding/data science project early in the interview process, practice relevant coding challenges and data science problems. Be ready to showcase your problem-solving skills and your ability to apply your knowledge in a practical context.
Highlight Team Collaboration: As the role involves working closely with traders and analysts, emphasise any past experiences where you collaborated with cross-functional teams. Showcase your communication skills and your ability to translate complex data insights into actionable trading decisions.
How to prepare for a job interview at BlueCrest Capital Management
✨Brush Up on Your Coding Skills
Since candidates will be given a coding/data science project early in the interview process, it's crucial to refresh your Python skills. Make sure you're comfortable with data manipulation libraries like Pandas and NumPy, as well as visualisation tools such as Matplotlib or Seaborn.
✨Understand the Energy Trading Landscape
Familiarise yourself with the basics of energy trading, particularly in gas and power markets. Knowing how trading decisions are made and the factors that influence these markets will help you demonstrate your interest and understanding during the interview.
✨Prepare for Model Lifecycle Questions
Be ready to discuss the full lifecycle of data-driven models, from design to deployment. Think about examples from your past experience where you've successfully built and maintained models, and be prepared to explain your thought process and methodologies.
✨Showcase Your Problem-Solving Skills
During the interview, you may be asked to solve real-world problems related to data science and trading. Practice articulating your problem-solving approach clearly and logically, and don't hesitate to ask clarifying questions if needed.
