Battery Modelling & Optimisation Analyst
Battery Modelling & Optimisation Analyst

Battery Modelling & Optimisation Analyst

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Enhance power market models for battery systems and optimise trading outcomes.
  • Company: Leading energy trading firm in Greater London with a collaborative culture.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Why this job: Join a team making a real impact in the energy sector with innovative solutions.
  • Qualifications: Python skills and knowledge of battery energy storage systems required.
  • Other info: Dynamic work environment with excellent career advancement opportunities.

The predicted salary is between 36000 - 60000 £ per year.

A leading energy trading firm in Greater London is seeking a professional to enhance power market models focused on battery systems. You will work closely with traders, quants, and engineers to implement advanced models that optimize trading outcomes. Ideal candidates should have Python skills and a background in battery energy storage systems. This role offers a unique opportunity to contribute to cutting-edge energy solutions in a collaborative team environment.

Battery Modelling & Optimisation Analyst employer: Saragossa

As a leading energy trading firm in Greater London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from continuous professional development opportunities, competitive remuneration, and the chance to work on groundbreaking projects in the energy sector. Join us to be part of a team that is not only shaping the future of energy but also prioritising your growth and well-being.
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Contact Detail:

Saragossa Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Battery Modelling & Optimisation Analyst

✨Tip Number 1

Network like a pro! Reach out to professionals in the energy trading sector on LinkedIn. Join relevant groups and engage in discussions about battery systems and optimisation. This can help us get our foot in the door and learn about hidden job opportunities.

✨Tip Number 2

Show off your Python skills! Prepare a portfolio of projects or examples where you've used Python for modelling or optimisation. We can share this during interviews to demonstrate our expertise and passion for the field.

✨Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine our responses. Focus on how our experience aligns with the role, especially in battery energy storage systems and collaboration with traders and engineers.

✨Tip Number 4

Apply through our website! It’s the best way to ensure our application gets noticed. Tailor our CV and cover letter to highlight relevant skills and experiences that match the job description. Let’s make sure we stand out!

We think you need these skills to ace Battery Modelling & Optimisation Analyst

Python
Battery Energy Storage Systems
Power Market Modelling
Data Analysis
Collaboration Skills
Optimisation Techniques
Quantitative Analysis
Energy Trading Knowledge

Some tips for your application 🫡

Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you can use it to enhance power market models, so don’t hold back on sharing relevant projects or experiences!

Connect Your Experience with Battery Systems: If you've got a background in battery energy storage systems, let us know! We’re looking for candidates who can bring that knowledge to the table, so weave it into your application to show how you fit the role.

Collaborative Spirit is Key: This role is all about teamwork, so make sure to mention any collaborative projects you've worked on. We love seeing how you’ve teamed up with traders, quants, or engineers in the past!

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at Saragossa

✨Know Your Battery Systems

Make sure you brush up on your knowledge of battery energy storage systems. Be ready to discuss how these systems work and their impact on power market models. This will show that you’re not just familiar with the theory but can also apply it in real-world scenarios.

✨Show Off Your Python Skills

Since Python is a key requirement for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain a piece of code. Practise common algorithms or data manipulation tasks that could relate to battery modelling.

✨Collaborate Like a Pro

This role involves working closely with traders, quants, and engineers. Think of examples from your past experiences where you successfully collaborated with different teams. Highlight your communication skills and how you can bridge the gap between technical and non-technical team members.

✨Stay Updated on Market Trends

Familiarise yourself with the latest trends in the energy trading market, especially those related to battery optimisation. Being able to discuss current events or innovations in the field will demonstrate your passion and commitment to the industry.

Battery Modelling & Optimisation Analyst
Saragossa
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  • Battery Modelling & Optimisation Analyst

    Full-Time
    36000 - 60000 £ / year (est.)
  • S

    Saragossa

    50-100
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