Senior Client Quant Specialist, Enterprise Sales - Bloomberg Financial Solutions

Senior Client Quant Specialist, Enterprise Sales

Quantitative investment and research workflows continue to evolve rapidly, driven by advances in cloud computing, open-source technologies, and artificial intelligence. Bloomberg is uniquely positioned at the intersection of financial markets, data, and technology, enabling investment professionals to build sophisticated quantitative workflows using trusted Bloomberg data and analytics.

The Senior Client Quant Specialist team works closely with Bloomberg clients to demonstrate how Bloomberg's quantitative solutions can address complex investment research and enterprise workflow requirements and to help clients implement these solutions using our Python-based quantitative development platform, BQuant Enterprise. Powered by JupyterLab, the platform combines cloud architecture, specialized workflow libraries, and the world's leading financial database, enabling our clients to generate unique quantitative research, develop and deploy sophisticated research and investment workflows at scale.

As a global team, we have specialists based in London, New York, San Francisco, So Paulo, Hong Kong, Singapore, Tokyo, and Sydney. We work collaboratively with our Sales team, CTO Office, and Engineering teams to deliver innovative solutions for our clients. What's the role? As a Senior Client Quant Specialist, you will work at the intersection of financial markets, quantitative research, and technology, partnering with Bloomberg's clients to solve complex quantitative and investment workflow challenges. This is a highly client-facing pre-sales engineering role. You will partner closely with BQuant Sales team throughout the client lifecycle, from technical discovery and solution design to proof-of-concept development and adoption. You will engage with quantitative researchers, portfolio managers, data scientists, developers, and technology leaders to understand their investment and technology needs and translate them into scalable solutions leveraging Bloomberg's quantitative platform, data, APIs, and enterprise capabilities. The role combines expertise in quantitative finance and Python with modern technologies including cloud computing, data architecture, APIs, and AI/ML. As LLMs and generative AI reshape financial research, you will also explore innovative use cases that bring together these technologies with Bloomberg's data and quantitative capabilities. You will collaborate closely with CTO and Engineering, bringing client perspectives and emerging technology trends back into Bloomberg to help shape the future of our quantitative solutions.

We'll trust you to:

• 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 such as Amazon Bedrock and Azure OpenAI

You will learn on the job:

• Work at the intersection of quantitative finance, cloud technology, and AI, solving complex, real-world problems with sophisticated financial institutions
• Gain exposure to how leading investment firms design and scale quantitative research, portfolio construction, and investment workflows across Equities, Fixed Income/Credit, FX, Commodities, and other asset classes
• Build deep expertise in BQuant Enterprise, Bloomberg's data, analytics, APIs, and enterprise technology ecosystem
• Apply and expand your expertise in Python, open-source technologies, data science, and advanced analytics, while exploring how LLM-powered workflows can transform quantitative research and investment processes
• Collaborate with clients, CTO, and Engineering on complex use cases, bringing market insights back into Bloomberg and helping shape the evolution of our quantitative solutions

You'll need to have:

• 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 LLM APIs and enterprise generative AI services, such as Amazon Bedrock, Azure OpenAI, or similar technologies, is a plus.
• 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

We'd love to see:

• 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