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- Tasks: Enhance algorithmic trading strategies using Python and analyse large datasets.
- Company: Leading energy company in Manchester with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for skill development.
- Why this job: Join a cutting-edge team and make an impact in the energy trading market.
- Qualifications: Strong understanding of financial markets and experience in Python programming.
- Other info: Collaborative atmosphere with excellent career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading energy company in Manchester is seeking a Quant Researcher to enhance algorithmic trading strategies and support the Digital Trading team. The ideal candidate will work with large datasets to identify trading opportunities in energy markets, utilizing Python and statistical methods. Collaboration and a strong understanding of financial markets are essential. This role offers a dynamic environment where skills in trading, analysis, and model building are key to success.
Energy Quant Researcher — Algorithmic Trading in Python in Manchester employer: Gazprom Energy
Contact Detail:
Gazprom Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy Quant Researcher — Algorithmic Trading in Python in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the energy and trading sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to algorithmic trading or data analysis. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of financial markets and trading strategies. Be ready to discuss how you've used statistical methods in past projects, as this will be crucial for the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might not be listed elsewhere. Plus, it’s a great way to show your interest in joining our dynamic team.
We think you need these skills to ace Energy Quant Researcher — Algorithmic Trading in Python in Manchester
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it to tackle real-world problems, especially in trading or data analysis.
Demonstrate Your Analytical Mindset: When writing your application, share examples of how you've worked with large datasets. We love seeing how you identify trends and opportunities, so don’t hold back on the details!
Collaboration is Key: Since this role involves working closely with the Digital Trading team, mention any past experiences where teamwork made a difference. We value collaboration, so let us know how you thrive in a team setting.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in the energy sector!
How to prepare for a job interview at Gazprom Energy
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in relation to data analysis and algorithmic trading. Be prepared to discuss specific libraries like Pandas and NumPy, and maybe even solve a coding challenge during the interview.
✨Understand the Energy Markets
Familiarise yourself with current trends and key players in the energy sector. Being able to discuss recent market movements or news will show your genuine interest and understanding of the field, which is crucial for the role.
✨Prepare for Technical Questions
Expect questions that test your statistical knowledge and model-building skills. Brush up on concepts like regression analysis and time series forecasting, and be ready to explain how you would apply these methods to real-world trading scenarios.
✨Showcase Your Collaborative Spirit
Since collaboration is key in this role, think of examples from your past experiences where you worked effectively in a team. Highlight how you contributed to group projects and how you can bring that teamwork mentality to the Digital Trading team.
