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- Tasks: Lead data analysis for energy transition models and communicate findings effectively.
- Company: Join BloombergNEF, a top provider of energy analysis and research worldwide.
- 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; Python and SQL skills 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.
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:
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Demonstrate excellent quantitative and communication skills, present and work with data effectively.
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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.
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Conduct data analysis using the Bloomberg Terminal.
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Support the communication of research findings via intuitive interactive dashboards, reports, news stories, datasets, and direct client interactions.
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Balance multiple parallel tasks, be highly organized and have rigorous attention to detail.
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Collaborate with integrity and drive with colleagues and clients from different cultures and countries.
You\’ll need to have:
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A Bachelor’s or Master’s degree in a related field such as Data Science, Statistics, Computer Science, Engineering, or a related quantitative discipline.
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Proficiency in Python and SQL.
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Strong quantitative skills and comfort with working effectively with large datasets and complex models.
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Internship and/or work experience (1-2 years) in the energy, commodities, finance industries.
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Excellent communication skills in English: writing, reading, and speaking.
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Rigorous attention to detail and a commitment to high-quality work.
We\’d love to see:
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Basic understanding of energy and/or financial markets and the transition to a low-carbon economy.
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Experience in using the Bloomberg Terminal (bdh, bdp, bql, bsrch etc).
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Experience with data visualization tools like PowerBI
If this sounds like you:
Please apply and we will get back to you with next steps
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
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BloombergNEF Data Lead, Transition Risk and Alignment (6-month contract) London, GBR Posted today employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BloombergNEF Data Lead, Transition Risk and Alignment (6-month contract) London, GBR Posted today
✨Tip Number 1
Familiarise yourself with BloombergNEF's research and reports on the energy transition. Understanding their methodologies and findings will help you engage in meaningful conversations during interviews and demonstrate your genuine interest in their work.
✨Tip Number 2
Brush up on your Python and SQL skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source initiatives that involve data analysis to showcase your proficiency.
✨Tip Number 3
Network with professionals in the energy and finance sectors. Attend relevant conferences or webinars to connect with individuals who may provide insights into the role and potentially refer you internally at BloombergNEF.
✨Tip Number 4
Prepare to discuss your experience with data visualisation tools like PowerBI. Having examples ready of how you've used these tools to present complex data can set you apart from other candidates.
We think you need these skills to ace BloombergNEF Data Lead, Transition Risk and Alignment (6-month contract) London, GBR Posted today
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 demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for climate issues and the low-carbon economy. Mention specific projects or experiences that showcase your quantitative skills and familiarity with tools like Python and SQL.
Showcase Communication Skills: Since the role requires excellent communication skills, consider including examples of how you've effectively presented data or research findings in previous roles. This could be through reports, dashboards, or client interactions.
Highlight Relevant Education: Clearly state your educational background, especially if you have a degree in Data Science, Statistics, or a related field. If you have any certifications or additional training relevant to the role, make sure to include those as well.
How to prepare for a job interview at Bloomberg L.P.
✨Show Your Passion for Climate
Make sure to express your enthusiasm for the low-carbon economy and climate transition during the interview. Share any relevant experiences or projects that demonstrate your commitment to sustainability, as this aligns with BloombergNEF's mission.
✨Demonstrate Quantitative Skills
Prepare to discuss your experience with quantitative analysis and data science. Be ready to provide examples of how you've used Python and SQL in past roles, especially in handling large datasets and complex models.
✨Familiarise Yourself with Bloomberg Tools
If you have experience using the Bloomberg Terminal, be sure to mention it. Familiarity with tools like bdh, bdp, and bql can set you apart, so consider brushing up on these before your interview.
✨Prepare for Collaborative Scenarios
Since the role requires collaboration across diverse teams, think of examples where you've successfully worked with others from different backgrounds. Highlight your ability to communicate effectively and adapt to various working styles.
