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- Tasks: Drive revenue for Bloomberg's Enterprise Data products, focusing on Quantitative Research and Data Science.
- Company: Bloomberg is a global leader in financial information and technology, serving clients worldwide.
- Benefits: Enjoy competitive pay, continuous training, and a collaborative work environment with flexible options.
- Why this job: Join a dynamic team at the forefront of financial innovation and data-driven investing.
- Qualifications: 5+ years in financial services, strong consultative sales skills, and knowledge of quantitative finance.
- Other info: Ideal for those passionate about innovation and familiar with programming languages like Python.
The predicted salary is between 48000 - 72000 £ per year.
Enterprise Data – Sales Specialist – Research & Data Science, Financial Solutions
Enterprise Data – Sales Specialist – Research & Data Science, Financial Solutions
Bloomberg London, United Kingdom Apply now Posted 1 month ago Permanent Competitive
Enterprise Data – Sales Specialist – Research & Data Science, Financial Solutions
Bloomberg London, United Kingdom Apply now
Enterprise Data – Sales Specialist – Research & Data Science, Financial Solutions
Location
London
Business Area
Sales and Client Service
Ref #
10043940
Description & Requirements
Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
Our Team
We\’re Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two person hedge fund – we\’re an integral part of the financial markets workflow in every corner of the world. We provide our users with up to the millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of 350,000 Bloomberg Terminal subscribers.
Our Sales teams are industry renowned for their subject matter expertise and platinum service levels. You\’ll have industry renowned training, not just when you join us, but continually throughout your career here. Just like we invest in our products, we invest in our people. It gives us the edge.
Bloomberg Enterprise Data – fast-paced, innovative, and expanding. We work closely with our clients to understand their unique businesses and their evolving data and technology needs. With an extensive range of datasets covering all asset types, multiple delivery technologies, and flexible scheduling options, our clients can access exactly the data they need, when they need it, and in the format they prefer. Quite simply, without us, they can\’t operate.
What\’s the Role?
We are looking for a Sales Specialist to join our team, responsible for driving revenue across Bloomberg\’s Enterprise Data product suite, with a specific focus on Quantitative Research and Data Science workflows.
Quantitative investing is undergoing a rapid transformation. Once the domain of the most sophisticated hedge funds, data science and quant techniques are now being adopted at scale by major asset managers and traditional firms across both the buy side and sell side. This new wave of innovation – powered by greater data availability, increased computing capacity, and advanced techniques – is reshaping the investment landscape and introducing fresh challenges and opportunities.
This role offers a unique opportunity to work with a dynamic, collaborative team, positioning Bloomberg\’s market-leading content and technology at the heart of modern research and quant strategies. You\’ll be at the intersection of financial innovation and data-driven investing.
We\’ll Trust You To:
- Link market trends and client workflows to clearly articulate the value of Bloomberg\’s Enterprise and Research data products
- Serve as a consultative partner to quantitative researchers, data scientists, and portfolio managers, helping them discover and integrate Bloomberg data into alpha-generating workflows
- Partner with internal product and engineering teams to represent client feedback and influence product development
- Lead sales and retention efforts for Bloomberg\’s Research and Data Science dataset offerings
- Build and execute sales strategies in collaboration with enterprise sales, account management, and solutions teams
- Validate client workflows and coordinate the appropriate technical and sales resources
- Help educate internal colleagues on how to identify and engage Quant-related sales opportunities
- Collaborate across business units to deliver value-added solutions tailored to client needs
- Contribute innovative ideas that anticipate client challenges and drive strategic value
- Maintain frequent client and prospect interaction through meetings, workshops, and on-site visits
- Participate actively in cross-functional projects that support departmental and firm-wide initiatives
- Seek out opportunities to mentor, contribute to training efforts, lead sales campaigns, or provide feedback for product enhancements
We\’ll Need You to Have:
- A minimum of 5 years\’ experience in financial services, ideally within a data, technology, or commercial role
- Proven consultative sales skills, including market research, lead generation, business development, and deal closing
- The ability to communicate complex technical solutions clearly and persuasively to a variety of audiences
- Strong presentation, communication, and training skills in English
- A deep understanding of client business models and data needs across research, quant, and trading functions
- A track record of managing and developing relationships at a senior level, including with CxO stakeholders
- Demonstrable knowledge of quantitative finance, research workflows, and the data science ecosystem
- Familiarity with alpha modeling, signal construction, portfolio analytics, and modern investment strategies
- Exposure to modern programming languages (e.g. Python, R) and environments like Jupyter Notebooks
- A solution-oriented mindset and the ability to thrive in a fast-moving environment
- A strong desire to learn, adapt, and continuously grow both commercially and technically
- Based in London, with a willingness to travel as needed
We\’d Love to See:
- Passion for innovation and building the future of Enterprise Solutions at Bloomberg
- Understanding of how machine learning and AI are being applied in financial markets
- Experience working with Research data or Alternative data sets
- Fluency in one or more European languages (especially French, Italian, or German)
- Coming from the Client Side? Even Better.
If you\’ve worked with Bloomberg data or tools as a quant, data scientist, or portfolio manager – we\’d love to hear from you. Your insight into how this data is used in practice is exactly what we value in this role.
What is Bloomberg?Our teams unleash the power of information and technology to organize, understand, and improve our world. Our 325,000+ global cust…
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Enterprise Data - Sales Specialist - Research & Data Science, Financial Solutions | London, UK employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data - Sales Specialist - Research & Data Science, Financial Solutions | London, UK
✨Tip Number 1
Familiarise yourself with Bloomberg's Enterprise Data products and the specific needs of quantitative researchers and data scientists. Understanding their workflows will help you articulate how our solutions can add value to their processes.
✨Tip Number 2
Network with professionals in the financial services sector, especially those involved in quantitative finance and data science. Attend industry events or webinars to build connections that could lead to valuable insights and potential referrals.
✨Tip Number 3
Stay updated on the latest trends in data science and quantitative investing. Being knowledgeable about current market developments will enable you to engage in meaningful conversations with clients and demonstrate your expertise.
✨Tip Number 4
Prepare to showcase your consultative sales skills through role-playing scenarios or mock presentations. This will help you refine your ability to communicate complex solutions clearly and persuasively, which is crucial for this role.
We think you need these skills to ace Enterprise Data - Sales Specialist - Research & Data Science, Financial Solutions | London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in financial services, particularly in data, technology, or sales roles. Emphasise your consultative sales skills and any experience with quantitative finance or data science.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovation and how your background aligns with Bloomberg's mission. Mention specific examples of how you've successfully driven sales or developed client relationships in the past.
Showcase Technical Skills: If you have experience with programming languages like Python or R, be sure to include this in your application. Highlight any familiarity with data science tools or methodologies that are relevant to the role.
Demonstrate Industry Knowledge: Research Bloomberg's Enterprise Data products and the current trends in quantitative investing. Use this knowledge to articulate how you can contribute to their team and help clients integrate data into their workflows.
How to prepare for a job interview at Bloomberg
✨Understand the Role and Company
Before your interview, make sure you thoroughly understand Bloomberg's Enterprise Data products and how they relate to quantitative research and data science. Familiarise yourself with their market position and recent innovations to demonstrate your genuine interest.
✨Showcase Your Consultative Skills
Prepare examples from your past experience that highlight your consultative sales skills. Be ready to discuss how you've successfully identified client needs and provided tailored solutions, especially in financial services or data-driven environments.
✨Communicate Complex Ideas Clearly
Since the role involves explaining complex technical solutions, practice articulating intricate concepts in a simple manner. Use analogies or real-world examples to make your points relatable and understandable during the interview.
✨Demonstrate Your Passion for Innovation
Bloomberg values innovation, so be prepared to discuss your thoughts on emerging trends in data science and quantitative finance. Share any personal projects or experiences that showcase your enthusiasm for technology and its application in financial markets.
