Senior Client Quant Specialist, Enterprise Sales - Bloomberg Financial Solutions

What you'll do

• Lead client technical discovery and translate business, data, and technology needs into scalable solutions.
• Build proofs of concept, prototypes, and demonstrations using Bloomberg’s quantitative platform, data, and enterprise capabilities.
• Collaborate with Sales, CTO, and Engineering on opportunities, integrations, and product feedback.

What they ask for

• At least 5 years of relevant experience in pre-sales engineering, solutions engineering, technical consulting, quantitative finance, or an investment-related role.
• Front-office or buy-side experience with quantitative researchers, portfolio managers, or investment teams, and knowledge of Equity, Fixed Income/Credit, or Macro strategies.
• Work experience with Python, SQL, Git/Github, plus familiarity with AI technologies, cloud platforms, and AI Assisted Tools.
• Commercial and strategic mindset, strong client communication, and ability to collaborate across teams.

Nice to have

• Experience with large-scale financial datasets, modern data platforms, or applying machine learning, AI, or advanced analytics to financial markets.
• Familiarity with Docker, CI/CD, Kubernetes, additional programming languages or analytical technologies, or Spanish or Portuguese.

Pay

175,000 - 225,000 USD Annual, base salary

Tools

Python, SQL, Git/Github, AWS, Azure, Google Cloud, Docker, Kubernetes

AI focus

Explore generative AI and LLM use cases for financial research and investment workflows; apply familiarity with AI technologies and AI-assisted tools.