Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Enterprise Data – Sales Specialist – Research & Data Science, Financial Solutions London, GBR P[...]

Bloomberg L.P.
London
2 months ago
Create job alert

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.

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


#J-18808-Ljbffr

Related Jobs

View all jobs

Enterprise Data - Sales Specialist - Research & Data Science, Financial Solutions | London, UK

Research Fellow in Quantum Machine Learning - School of Computer Science - 105899 - Grade 7

Data Analyst - Anaplan Specialist

Data Scientist

Data Engineer

Anaplan Data Analyst New London, England, United Kingdom.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.