Buyside Enterprise Solutions Pre-Sales Engineer - BQL Specialist, Enterprise Sales Location London Business Area Sales and Client Service Ref 10047043 Description & Requirements Bloomberg's Buyside Enterprise Solutions offers a comprehensive suite of integrated tools that empower investment professionals globally. These include research management, order and portfolio management, as well as performance and risk analytics - all tailored to streamline workflows and enable precise decision-making across all asset classes. From targeted tools to complete end-to-end workflows, our integrated services are designed to exponentially increase productivity and efficiency for our clients! What's the role? We are seeking a Pre-Sales Engineer with deep knowledge of Bloomberg Query Language (BQL) and buyside research workflows to join our growing team. This role supports the pre-sales process, working closely with Enterprise Sales to design and present client-specific solutions using our BQL and visualization solutions, with a primary focus on research and portfolio construction workflows. You'll serve as a strategic advisor, helping drive revenue growth, product adoption, and innovating client-first solutions using the full suite of the Bloomberg Buyside offering. We will trust you to: Collaborate with Sales teams to achieve sales targets by deeply engaging with prospects and existing clients to understand their workflow needs. Provide BQL expertise to sales engagements demonstrating flexibility through applications such as PowerBI and BQuant. Support strategic client engagements through discovery meetings at every stage of the sales life cycle, delivering exceptional proof-of-concepts and tailored client demonstrations. Operate within a consultative framework - identifying client challenges, articulating solution fit, and pitching tailored, value-driven propositions. Work closely with Sales and Product Managers to relay market insights, product feedback, and emerging industry trends. Lead or contribute to the development of RFP/RFI responses, coordinating with Operations, Product, Legal & Compliance, and Sales to ensure timely and complete submissions. Ensure a seamless transition from sales to implementation by facilitating structured handovers and comprehensive knowledge transfer. You'll need to have: A strong, proven knowledge of API technologies including practical knowledge of Bloomberg Query Language (BQL), Python, or SQL. Knowledge of Bloomberg Research Management Solutions (RMS) Client facing experience in Financial Services or a Financial Technology company in the past 5 years or experience working with APIs within the Buyside workflow. Exceptional communication skills and the ability to discuss technical subject matters Experience interacting with and influencing senior collaborators, either internally or externally. We would love to see: Experience with Phyton and our Python-based quant platform (BQuant) A second European language The ability to travel depending on client requirements If this sounds like you: If you're passionate about helping clients succeed with groundbreaking financial solutions, we'd love to hear from you! https://www.bloomberg.com/professional/solutions/asset-management/ Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. 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