At a Glance
- Tasks: Lead data analysis for energy transition models and communicate findings effectively.
- Company: Join BloombergNEF, a global leader in energy analysis and research.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Make an impact on climate change 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 42000 - 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 Bloombergu2019s 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 donu2019t 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 Bacheloru2019s or Masteru2019s 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
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
BloombergNEF Data Lead,Transition Risk and Alignment (6-month contract) employer: Bloomberg
Contact Detail:
Bloomberg 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 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 projects that involve data analysis to showcase your proficiency and problem-solving abilities.
✨Tip Number 3
Network with professionals in the energy and finance sectors, especially those who have experience with Bloomberg Terminal. Engaging with them can provide insights into the industry and potentially lead to referrals or recommendations.
✨Tip Number 4
Prepare to discuss your previous experiences with quantitative analysis and data visualisation tools like PowerBI. Be ready to share specific examples of how you've used these skills to solve problems or drive insights in past roles.
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 specific examples that demonstrate your skills in Python, SQL, and data analysis.
Craft a Compelling Cover Letter: In your cover letter, express your passion for climate change and the low-carbon economy. Mention how your background aligns with BloombergNEF's mission and the specific role of Data Lead, Transition Risk and Alignment.
Showcase Communication Skills: Since excellent communication is key for this role, provide examples in your application of how you've effectively communicated complex data findings in previous positions or projects.
Highlight Relevant Tools and Technologies: Mention your experience with data visualization tools like PowerBI and your familiarity with the Bloomberg Terminal. This will show that you have the technical skills necessary for the role.
How to prepare for a job interview at Bloomberg
✨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 transition or financial analysis.
✨Demonstrate Your 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 Tools
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 Your Collaborative Spirit
BloombergNEF values teamwork and collaboration. Prepare examples that demonstrate your ability to work well with diverse teams and how you’ve contributed to group projects in the past.