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For Companies At a Glance
- Tasks: Analyse global energy markets and develop models for commercial insights.
- Company: Join a leading firm in the energy sector with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make an impact in the low-carbon energy transition while honing your analytical skills.
- Qualifications: Degree in STEM or quantitative field; experience with modelling techniques and data analysis.
- Other info: Collaborative environment with a chance to work alongside industry experts.
The predicted salary is between 36000 - 60000 £ per year.
Key Accountabilities:
- Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization.
- Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions.
- Develop and implement fundamental balances, pricing models and other tools to surface commercial opportunities within the low-carbon, power, gas, and oil markets, harnessing best practices and advanced modelling techniques.
- Engage with stakeholders (traders and analysts) to ensure that solutions/models are optimal and deliver deep commercial insight.
- Identify repetitive processes that can be standardized into modules that can be reused across projects.
Essential Experience:
- Undergraduate degree in STEM subject or quantitative discipline.
- Knowledge of European energy markets (e.g. gas, LNG, or power).
- Understanding of supply and demand drivers together with how physical and related financial instruments are traded.
- Track record of working with traders or other business stakeholders to create commercially actionable models.
- Experience with a range of modelling techniques including regression, time series analysis, forecast modelling and machine learning.
- Excellent problem-solving skills.
- Experience using a coding language to develop models and analytical tools.
- Experience manipulating and analyzing large, complex datasets.
Desirable Experience & Skills:
- Practical knowledge of data engineering practices (designing and building robust data pipelines).
- Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel).
FM&I Modeling Analyst in City of London employer: HCLTech
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land FM&I Modeling Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the energy sector, especially those who work with traders or analysts. A casual chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your modelling techniques and analytical tools. This is your chance to demonstrate your understanding of the European energy markets and how you can provide commercial insights.
✨Tip Number 3
Practice your communication skills! Be ready to explain your models and insights clearly to stakeholders. Remember, it’s not just about the numbers; it’s about how you can influence decisions with them.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talent like yours. Make sure your application stands out by tailoring it to highlight your experience with data analysis and modelling in the energy sector.
We think you need these skills to ace FM&I Modeling Analyst in City of London
Some tips for your application 🫡
Show Your Passion for Energy Markets: When you're writing your application, let us see your enthusiasm for global energy markets. Share any relevant experiences or projects that highlight your understanding of the sector and how you can contribute to our team.
Be Clear and Concise: We love a well-structured application! Make sure your writing is clear and to the point. Use bullet points where necessary to make it easy for us to spot your key skills and experiences related to the role.
Highlight Your Technical Skills: Don’t forget to showcase your technical prowess! Mention your experience with modelling techniques, coding languages, and any tools you've used. This is your chance to impress us with your analytical capabilities.
Tailor Your Application: Make your application stand out by tailoring it specifically to the FM&I Modeling Analyst role. Refer to the job description and align your skills and experiences with what we’re looking for. And remember, apply through our website for the best chance!
How to prepare for a job interview at HCLTech
✨Know Your Energy Markets
Make sure you brush up on your knowledge of European energy markets, especially gas, LNG, and power. Be ready to discuss how supply and demand drivers affect these markets and how physical and financial instruments are traded. This will show that you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Modelling Skills
Prepare to talk about your experience with various modelling techniques like regression, time series analysis, and machine learning. Bring examples of how you've used these skills to create actionable models for traders or stakeholders. If you have a portfolio or case studies, don’t hesitate to share them!
✨Communicate Effectively
Strong communication skills are key in this role. Practice explaining complex analytics in simple terms. Think about how you can influence commercial decisions through your insights. You might even want to prepare a few scenarios where you successfully communicated your findings to stakeholders.
✨Demonstrate Problem-Solving Abilities
Be ready to tackle some problem-solving questions during the interview. Think of examples from your past experiences where you identified issues and implemented solutions, particularly in relation to data analysis or modelling. Highlight your analytical thinking and how it led to commercial opportunities.
