Consults with financial-market clients to design and deploy Excel, Power BI and BQL API solutions, supporting sales, research, portfolio analytics and enterprise implementations.
About this role
The Client Quant Developer is part of Bloomberg’s BQuant Desktop team, applying its Python-based quant platform to client investment strategies and research. The role connects client workflows with Product Development and Software Engineering. Work spans demonstrations, requirements gathering, prototypes, implementation of tactical desktop applications, deployment and adoption. The developer assists with client strategies and migrations, partners with Sales on revenue-focused solutions, and shares client needs with product and engineering teams. Bloomberg APIs and open-source Python tools support analytics, widgets and advanced data visualization. Applicants need 3–8 years in financial services or financial technology, Python financial-model development experience, and experience in at least one asset class, such as equities, fixed income, commodities or FX. Strategic judgment, commercial acumen and confidence in consultative client interactions are also required.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.