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- Tasks: Analyse market data and enhance trading strategies using Python.
- Company: Join SEFE GmbH, a leading European energy company focused on supply security and innovation.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and learning.
- Why this job: Be part of a team that values creativity and collaboration in the fast-paced energy market.
- Qualifications: A degree in STEM and strong Python skills are essential; experience in trading is a plus.
- Other info: Work with a diverse team across Europe, Asia, and North America.
The predicted salary is between 21600 - 36000 £ per year.
As a Quant Researcher, you will be responsible for improving algorithmic trading strategies and supporting existing strategies within the Digital Trading team using Python. Your tasks will include conducting in-depth analyses of market data, building and refining models, and collaborating with traders and team members to optimize trading strategies. You will work with large and complex datasets to identify trading opportunities and patterns in the energy market.
What you’ll do
Conduct research and analysis of large datasets to identify trading opportunities and trends in energy markets. Develop new trading strategies under the guidance of the Digital Trading team to support automated trading infrastructure. Your responsibilities will also include:
- Monitoring and evaluating the performance of trading strategies and making adjustments as needed.
- Understanding and applying knowledge of market structures.
- Advising on improvements and finding workarounds around IT estate and processes.
What you’ll bring to the role
A basic understanding of trading and risk management (preferably in commodities or other trading markets) is essential. You should be comfortable working in a dynamic, rapidly growing business environment. The ideal candidate will have:
- A strong understanding of financial markets, especially energy markets.
- Experience with data analysis and modeling using large datasets.
- Ability to work effectively in a fast-paced, high-pressure environment as a team player.
- Excellent written and verbal communication skills.
- Strong Python skills, with a background in statistics and probability theory.
- Exposure to C# or other programming languages is a plus.
- A degree in STEM or equivalent experience.
About Us
Securing Energy for Europe GmbH (SEFE GmbH) is a major European energy company focused on supply security and generating value in Europe. Its main activities include energy supply, trading, gas transportation, and gas storage operations. The SEFE Group operates across Europe, Asia, and North America, with around 50 companies and approximately 1,500 employees.
SEFE Marketing & Trading Limited (SM&T), headquartered in London, is part of the SEFE Group. It is a multi-commodity trader specializing in derivatives, digital, and analytics, aiming to create value in European gas, LNG, power, and environmental markets. We foster a culture of excellence, growth, and learning, encouraging innovation and diverse ideas. We believe our team’s expertise and dedication make us a trusted partner in international markets. We are committed to providing an environment where our employees can thrive and contribute to shaping our future.
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Quant Researcher employer: Gazprom Energy
Contact Detail:
Gazprom Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher
✨Tip Number 1
Familiarise yourself with the latest trends in energy markets. Understanding current events and market dynamics can give you an edge during interviews, as you'll be able to discuss relevant topics and demonstrate your passion for the field.
✨Tip Number 2
Brush up on your Python skills, especially in relation to data analysis and modelling. Consider working on personal projects or contributing to open-source projects that involve large datasets to showcase your abilities and practical experience.
✨Tip Number 3
Network with professionals in the trading and quantitative research fields. Attend industry events, webinars, or meetups to connect with potential colleagues and learn more about the company culture at SEFE GmbH.
✨Tip Number 4
Prepare to discuss your understanding of risk management and trading strategies. Be ready to provide examples of how you've applied these concepts in past experiences, as this will demonstrate your readiness for the role.
We think you need these skills to ace Quant Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, algorithmic trading, and data analysis. Emphasise your Python skills and any exposure to financial markets, particularly energy markets.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in STEM and your understanding of trading and risk management make you a suitable candidate for the Quant Researcher position.
Showcase Your Projects: If you have worked on any relevant projects or case studies involving large datasets or trading strategies, be sure to include these in your application. Highlight your analytical skills and any successful outcomes from your work.
Prepare for Technical Questions: Be ready to discuss your technical skills in Python and any other programming languages you know. Prepare to explain your approach to data analysis and model building, as well as your understanding of market structures and trading strategies.
How to prepare for a job interview at Gazprom Energy
✨Showcase Your Python Skills
As a Quant Researcher, strong Python skills are essential. Be prepared to discuss your experience with Python in detail, including specific projects where you've used it for data analysis or model building. If possible, bring examples of your work or be ready to solve a coding challenge during the interview.
✨Understand Market Structures
Demonstrating a solid understanding of financial markets, particularly energy markets, will set you apart. Brush up on key concepts related to trading and risk management, and be ready to discuss how these apply to the role. Showing that you can connect theory to practical applications will impress your interviewers.
✨Prepare for Data Analysis Questions
Expect questions that assess your ability to analyse large datasets. Be ready to explain your approach to identifying trading opportunities and trends. You might be asked to walk through a past project where you successfully analysed data, so have a clear narrative prepared.
✨Emphasise Team Collaboration
Since the role involves working closely with traders and team members, highlight your teamwork skills. Share examples of how you've collaborated in previous roles, especially in high-pressure environments. This will demonstrate your ability to thrive in a dynamic setting and contribute positively to the team.
