Senior Client Quant Specialist, Enterprise Sales - Bloomberg Financial Solutions

Bloomberg•New York, NY

1d•$175,000 - $225,000•Onsite

About The Position

Quantitative investment and research workflows are rapidly evolving due to advances in cloud computing, open-source technologies, and artificial intelligence. Bloomberg is strategically positioned at the intersection of financial markets, data, and technology, empowering investment professionals to develop advanced quantitative workflows using reliable Bloomberg data and analytics. The Senior Client Quant Specialist team collaborates closely with Bloomberg clients to showcase how the company's quantitative solutions can meet complex investment research and enterprise workflow needs. They also assist clients in implementing these solutions through Bloomberg's Python-based quantitative development platform, BQuant Enterprise. This platform, built on JupyterLab, integrates cloud architecture, specialized workflow libraries, and the leading financial database, enabling clients to produce unique quantitative research and deploy sophisticated research and investment workflows at scale. As a global team with specialists in various international locations, we work collaboratively with Sales, the CTO Office, and Engineering teams to deliver innovative client solutions.

Requirements

Minimum 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 working with quantitative researchers, portfolio managers, or investment teams, with knowledge of Equity, Fixed Income/Credit, or Macro quantitative investment strategies
Work experience with Python, SQL, Git/Github, as well as familiarity with AI technologies and cloud platforms such as AWS, Azure, or Google Cloud
Familiarity with AI Assisted Tools
A commercial and strategic mindset, with the ability to assess client needs, identify opportunities and connect technical solutions to business value
Highly articulate, consultative, and confident in interactions with clients
Comfortable working in a cross-functional environment, collaborating effectively across multiple teams and stakeholders

Nice To Haves

Experience working with large-scale financial datasets and modern data platforms
Experience applying machine learning, AI, or advanced analytics to financial market use cases
Familiarity with software engineering and deployment technologies such as Docker, CI/CD or Kubernetes
Knowledge of additional programming languages or analytical technologies such as R, Java, C#, React or Rust
Additional language skills relevant to the region, particularly Spanish or Portuguese, are a plus

Responsibilities

Partner with BQuant Sales team as a technical pre-sales quant specialist, helping identify, qualify, and progress opportunities for Bloomberg's quantitative solutions
Lead technical discovery with prospective clients to understand their business needs, data requirements, and technology architecture
Develop proofs of concept, prototypes, and technical demonstrations that translate client use cases into compelling solutions leveraging Bloomberg's quantitative platform, data, and enterprise capabilities
Understand clients' cloud and enterprise technology environments and demonstrate how Bloomberg solutions can integrate with cloud-based research, data, and analytics workflows across AWS, Azure, and Google Cloud
Partner closely with CTO and Engineering to translate client requirements and market trends into actionable product feedback and enhancements
Stay current with emerging technologies and industry trends, including the generative AI and LLM ecosystem and enterprise services