Team Leader - Bloomberg New Energy Finance Data

Bloomberg L.P.; City Of London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading financial services provider is seeking a Team Leader for their Bloomberg New Energy Finance Data team in London. This role entails managing a diverse team focused on delivering high-quality data for clean energy and climate tech markets. The ideal candidate will have strong leadership skills, experience in financial data, and analytical proficiency. This position promotes collaboration across various departments and offers a dynamic working environment with a focus on best practices.

Qualifications

• 3+ years leading teams or significant experience leading projects.
• Solid experience working with financial data.
• Strong analytical skills and comfort using tools like Python, SQL, and/or Tableau.

Responsibilities

• Lead, mentor, and grow a team focused on delivering high-quality data.
• Drive collaboration with key partners across Product, Sales, Research, and Engineering.
• Champion data governance and quality controls.

Skills

Leadership

Data quality management

Communication

Data modeling

Analytical skills

Tools

Python

SQL

Tableau

Job description

Overview

Team Leader - Bloomberg New Energy Finance Data

Location: London

Business Area: Data

Ref #: 10046156

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

Our BloombergNEF Data team builds data products that help clients navigate the transition to a low-carbon economy. By bringing together insights from multiple sources, we deliver high-impact datasets that support decision-making in markets where transparency is limited. Our datasets are designed to support financial professionals, corporate strategists, policymakers, and analysts who need deep insights into clean energy, transportation, commodities, and climate tech markets. We collaborate closely with cross-functional stakeholders across BNEF product areas, including Research, Engineering and Product.

Responsibilities

As our department continues to grow in scale and complexity, we are increasing leadership capacity to enable a more focused approach across technical and product domains including data modeling, workflow evolution and AI integration. As a result, we are seeking a new Team Leader to oversee the data management, quality, and processes behind our core dataset.

In this role, you will oversee a group of data professionals with diverse expertise, guiding them to apply best practices and deliver accurate, client-ready data. This role demands critical thinking, strong execution, and the ability to foster a high-performing, inclusive culture. Success will rely on close collaboration with partners across Engineering, Product, Research, Enterprise, as well as regional counterparts.

You’ll Trust You To:

• Lead, mentor, and grow a team focused on delivering high-quality, time-sensitive data
• Drive collaboration with key partners across Product, Sales, Research, and Engineering to deliver impactful, client-ready data
• Champion data governance, quality controls, and process transparency through client-centric metrics
• Guide team development in data modeling and ETL of both structured and unstructured data, working closely with Engineering to build scalable, multi-product data solutions
• Establish and enforce standards to ensure data meets SLAs and supports exceptional client service
• Build subject matter expertise and stay ahead of industry trends to identify gaps and innovation opportunities
• Collaborate globally to enhance workflows, ensuring consistent, efficient data quality across products and regions

Qualifications

• Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
• 3+ years leading teams or significant experience leading projects and/or initiatives
• Solid experience working with financial data
• Proven track record establishing strong credibility and building influential relationships with your team as well as multiple internal clients and partners
• Hands-on experience related to data quality, data modeling, or data engineering workflows
• Strong analytical skills and comfort using tools like Python, SQL, and/or Tableau
• Clear and confident communicator, able to connect team goals to business outcomes
• Experience working with large and complex datasets
• Ability to use both quantitative and qualitative insights to drive strategy
• Strong relationship-building skills across technical and commercial teams

Desirable

• Experience or knowledge in Energy Transition, Bloomberg products, and/or Bloomberg data workflows
• Deep understanding of how financial data drives decisions across businesses
• Proven track record delivering data-driven transformation — such as advanced data modeling, automated workflows, or data quality and governance initiative

Inclusion & Equal Opportunity

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 [e-mail]