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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.
Available online, on mobile and on the Terminal, BNEF is powered by Bloomberg's global network of 19,000 employees in 176 locations, reporting 5,000 news stories a day. Visit or request more information via

BNEF Team Ethos:

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

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