At a Glance
- Tasks: Lead a dynamic team to innovate Bloomberg’s Funds Data business using AI and data science.
- Company: Join Bloomberg, a leader in finance and technology with a commitment to diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for global travel.
- Other info: Passionate about AI? This is your chance to make a real difference!
- Why this job: Shape the future of financial data and drive impactful AI transformations.
- Qualifications: 10+ years in product management with strong leadership and communication skills.
The predicted salary is between 70000 - 90000 £ per year.
The Role — Lead the Future of Funds Data Innovation
We are seeking a visionary Team Leader to drive the evolution of Bloomberg’s Funds Data business globally. This is a leadership position at the intersection of finance, data science, and AI innovation. You will be responsible for defining and executing the strategic roadmap for our Data products — shaping the next generation of data solutions. You’ll lead a high‑performing team of product managers, fostering a culture of innovation, experimentation, and continuous learning. In this role, you will champion AI‑driven transformation, Agentic AI approaches and be a partner to clients in their AI and Cloud technology transformation.
We’ll Trust You To:
- Lead innovation – inspire, mentor, and develop a team that leverages AI, analytics, and automation to re‑imagine data products and workflows.
- Drive growth in the Data business by defining a forward‑looking product strategy, prioritising high‑impact initiatives, and executing with agility.
You’ll Need To Have:
- 10+ years of experience in product management within financial data, analytics, or technology, including 5+ years in a leadership capacity.
- Deep understanding of global Funds markets with a deep understanding of Funds data landscape.
- Strong grasp of data science, MCP AI, and agentic automation concepts and how they transform financial data workflows.
- Proven track record of defining and executing innovative product strategies that deliver measurable business results.
- Excellent communication skills – able to articulate complex, technical concepts with clarity and influence across senior stakeholders.
- Ability to travel globally as needed to engage with teams, clients and industry partners.
We’d Love To See:
- Passion for AI innovation and the evolving landscape of agentic, intelligent data systems.
- Understanding of cross‑asset data models and quantitative integration.
- Exposure to client workflows across either Trading, Risk, regulation or sustainability.
- Experience with Python, R, or other data science and analytics programming languages.
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. 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 amer_recruit@bloomberg.net.
Team Leader - Funds Data, DL+ - Enterprise Data Product London, GBR Posted today employer: Bloomberg L.P.
Bloomberg is an exceptional employer that fosters a culture of innovation and continuous learning, making it an ideal place for professionals looking to lead in the evolving landscape of finance and data science. With a commitment to diversity and inclusion, employees benefit from a collaborative environment that encourages personal and professional growth, alongside opportunities to engage with cutting-edge AI technologies. Located in London, this role offers the chance to work at the forefront of financial data innovation while being part of a globally respected organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Team Leader - Funds Data, DL+ - Enterprise Data Product London, GBR Posted today
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
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Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
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We think you need these skills to ace Team Leader - Funds Data, DL+ - Enterprise Data Product London, GBR Posted today
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Bloomberg L.P..
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Bloomberg L.P.'s website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Bloomberg L.P.
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Bloomberg L.P..
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Bloomberg L.P. will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Bloomberg L.P. employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
