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- Tasks: Lead data analysis on company exposure to the energy transition using quantitative models.
- Company: Join BloombergNEF, a top provider of energy transition analysis and research.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Make an impact in the climate space while working with diverse, creative teams.
- Qualifications: Bachelor’s or Master’s in Data Science or related field; proficiency in Python and SQL required.
- Other info: This is a 6-month contract role based in London.
The predicted salary is between 36000 - 60000 £ per year.
BloombergNEF Data Lead, Transition Risk and Alignment (6-month contract)
Location
London
Business Area
Research
Ref #
10045090
Description & Requirements
We are seeking a talented, highly motivated individual to join BloombergNEF\’s Transition Risk and Alignment research team as a Data Lead, based in London. You will contribute to our quantitative models that support BNEF\’s analysis of company-level exposure to the energy transition. This role is a 6-month fixed-term contract and is ideal for someone with experience in data science, quantitative analysis, or related fields, with a passion for climate and the transition to a low-carbon economy.
Our team:
You will be based in our London office as part of the Transition Risk and Alignment team for BloombergNEF – the world\’s leading independent provider of analysis, tools, data and research to decision makers leading the future of energy. Our team of experts, spread across six continents, provides independent analysis and insight, working with the largest corporations across utilities and generation, oil & gas, equipment manufacturers, banking and finance, and government.
To succeed at BNEF, we need people who can work in an independent manner and show initiative to develop their own viewpoints, yet be collaborative with colleagues. We don’t rely on the status quo, we look for innovative yet pragmatic thinking that turns big ideas into real insights and impact. Working at BNEF sometimes feels chaotic; we need teams that are both dynamic and structured to generate the unique perspectives our clients really value. Our teams are diverse, creative, focused, and fun!
What\’s the role?
Despite headwinds the last five years, the low-carbon transition has maintained momentum. Last year, companies and consumers combined to deliver $2.1 trillion in energy transition investments, up 11% from 2024. Financial institutions have been instrumental in enabling the deployment of low-carbon assets. However identifying the exposure of investment and lending portfolios to the low-carbon transition remains a challenge. As part of the Transition Risk and Alignment team, you will be responsible for building and operating quantitative models that track the exposure of companies to the energy transition. In this role, you will gain experience at the nexus between the net-zero transition, financial reporting and corporate sustainability.
We\’ll trust you to:
- Demonstrate excellent quantitative and communication skills, present and work with data effectively.
- Support the maintenance and development of data tools and scripts for analysis on the exposure of companies to the energy transition, based on their revenues and capital expenditures.
- Conduct data analysis using the Bloomberg Terminal.
- Support the communication of research findings via intuitive interactive dashboards, reports, news stories, datasets, and direct client interactions.
- Balance multiple parallel tasks, be highly organized and have rigorous attention to detail.
- Collaborate with integrity and drive with colleagues and clients from different cultures and countries.
You\’ll need to have:
- A Bachelor’s or Master’s degree in a related field such as Data Science, Statistics, Computer Science, Engineering, or a related quantitative discipline.
- Proficiency in Python and SQL.
- Strong quantitative skills and comfort with working effectively with large datasets and complex models.
- Internship and/or work experience (1-2 years) in the energy, commodities, finance industries.
- Excellent communication skills in English: writing, reading, and speaking.
- Rigorous attention to detail and a commitment to high-quality work.
We\’d love to see:
- Basic understanding of energy and/or financial markets and the transition to a low-carbon economy.
- Experience in using the Bloomberg Terminal (bdh, bdp, bql, bsrch etc).
- Experience with data visualization tools like PowerBI
If this sounds like you:
Please apply and we will get back to you with next steps #J-18808-Ljbffr
BloombergNEF Data Lead, Transition Risk and Alignment (6-month contract) employer: Avature
Contact Detail:
Avature Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BloombergNEF Data Lead, Transition Risk and Alignment (6-month contract)
✨Tip Number 1
Familiarise yourself with Bloomberg Terminal functionalities, especially the data functions like bdh, bdp, and bql. This will not only help you in your role but also demonstrate your proactive approach to understanding the tools you'll be using.
✨Tip Number 2
Showcase your quantitative skills by preparing examples of past projects where you've successfully worked with large datasets or complex models. Be ready to discuss these experiences during any interviews to highlight your relevant expertise.
✨Tip Number 3
Network with professionals in the energy and finance sectors, particularly those who have experience with low-carbon transitions. Engaging in conversations can provide insights into industry trends and may even lead to referrals.
✨Tip Number 4
Stay updated on the latest developments in climate change and energy transition. Being knowledgeable about current events and trends will allow you to contribute meaningfully to discussions and demonstrate your passion for the field.
We think you need these skills to ace BloombergNEF Data Lead, Transition Risk and Alignment (6-month contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, quantitative analysis, and any work related to the energy transition. Use keywords from the job description to align your skills with what BloombergNEF is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for climate change and the low-carbon economy. Discuss how your background in data analysis and your proficiency in Python and SQL make you a great fit for the Data Lead role.
Showcase Your Quantitative Skills: Provide specific examples of projects or experiences where you successfully used quantitative models or data analysis. Highlight any experience with large datasets and complex models, as this is crucial for the role.
Prepare for Potential Assessments: Be ready to demonstrate your analytical skills and familiarity with tools like the Bloomberg Terminal during the application process. Consider brushing up on relevant data visualisation techniques and your understanding of energy markets.
How to prepare for a job interview at Avature
✨Showcase Your Quantitative Skills
Make sure to highlight your quantitative analysis experience during the interview. Be prepared to discuss specific projects where you used data science techniques, especially in relation to energy or finance.
✨Demonstrate Communication Abilities
Since the role requires effective communication of complex data, practice explaining your past work in a clear and concise manner. Use examples that illustrate how you presented findings to non-technical stakeholders.
✨Familiarise Yourself with Bloomberg Terminal
If you have experience using the Bloomberg Terminal, be ready to discuss it. If not, take some time to learn about its functionalities, as this knowledge could set you apart from other candidates.
✨Emphasise Collaboration and Initiative
The team values independent thinking as well as collaboration. Prepare examples that demonstrate your ability to work both independently and as part of a team, showcasing your initiative in developing solutions.
