At a Glance
- Tasks: Analyse weather data to influence gas and power market decisions.
- Company: Fast-paced energy trading firm in London.
- Benefits: Full-time role with competitive salary and dynamic work environment.
- Why this job: Make a real impact on energy markets with your meteorological expertise.
- Qualifications: Degree in Meteorology or related field; Python skills are a plus.
- Other info: Collaborate with traders and analysts in a vibrant trading atmosphere.
The predicted salary is between 36000 - 60000 Β£ per year.
Join a fast-paced energy trading environment where weather insights directly influence gas and power market decisions.
Key Responsibilities
- Analyse and interpret meteorological data and forecasts from internal and external sources
- Deliver short-term to seasonal weather views, tracking models, ensembles, and regime shifts
- Translate forecast changes into trading-relevant market impacts
- Work closely with traders, analysts, and risk teams on intraday and forward decisions
- Integrate weather assumptions into gas & power analytics and scenarios
- Develop and enhance weather models and tools using Excel and Python
Requirements
- Degree in Meteorology / Atmospheric Science (or related)
- Strong understanding of weather impacts on commodity markets
- Solid analytical skills; Python and re-analysis data (ERA Interim) experience is a plus
- Proactive, independent, and comfortable in a dynamic trading setup.
Meteorologist in City of London employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Meteorologist in City of London
β¨Tip Number 1
Network like a pro! Reach out to professionals in the energy trading sector, especially those who work with meteorology. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
β¨Tip Number 2
Show off your skills! When you get the chance to meet potential employers, whether at networking events or interviews, be ready to discuss your experience with Python and weather models. Bring examples of your work or projects that highlight your analytical skills.
β¨Tip Number 3
Stay updated on market trends! Keep an eye on how weather impacts gas and power markets. Being able to discuss current events and their implications during interviews will show you're not just knowledgeable but also genuinely interested in the field.
β¨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles that match your skills. Donβt hesitate to submit your application directly; itβs the best way to ensure it gets seen by the right people!
We think you need these skills to ace Meteorologist in City of London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your meteorology degree and any relevant experience. We want to see how your skills align with the energy trading environment, so donβt hold back on showcasing your analytical prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why youβre passionate about weather and energy trading. Share specific examples of how you've used your meteorological knowledge in real-world scenarios.
Show Off Your Technical Skills: Since weβre looking for someone with Python experience, make sure to mention any projects or tools youβve developed. If youβve worked with weather models or data analysis, let us know how you did it!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, itβs super easy!
How to prepare for a job interview at Harvey Nash
β¨Know Your Weather Stuff
Make sure you brush up on your meteorological knowledge. Understand how weather patterns affect energy trading and be ready to discuss specific examples of how you've used data to influence decisions in the past.
β¨Show Off Your Analytical Skills
Prepare to demonstrate your analytical prowess. Bring along examples of how you've used Python or Excel to analyse weather data, and be ready to explain your thought process when interpreting complex datasets.
β¨Understand the Trading Environment
Familiarise yourself with the energy trading landscape. Research how weather impacts gas and power markets, and think about how you can integrate your meteorological insights into trading strategies.
β¨Be Proactive and Engaging
During the interview, show that you're proactive and comfortable in a fast-paced environment. Engage with your interviewers by asking insightful questions about their current weather models and how you could contribute to enhancing them.