Bloomberg CTO Office is looking to solve complex, cutting-edge, and highly impactful problems in financial markets through generative AI and agentic workflows, aiming to redefine how the financial industry conducts research, trading, and risk management.
Requirements
- Prior experience designing and deploying GenAI solutions or agentic workflows in a financial market context
- Strong foundation in statistics, ML, and AI, with proven real-world applications in finance
- Strong programming skills in Python and familiarity with ML/AI libraries
- Research experience in multi-asset and cross-asset strategies, with preference for FI and Macro
- Deep curiosity and passion for generative AI, NLP, and agentic workflow automation in finance
- A track record of overcoming complex technical and financial challenges through collaboration and innovation
- 10+ years in quantitative research, machine learning, or financial AI development, including 5+ years in capital markets (fixed income, macro, or equity)
Responsibilities
- Build generative AI and agentic workflow solutions that redefine how the financial industry conducts research, trading, and risk management.
- Apply advanced ML/AI techniques in an extremely rich problem space with high impact potential across hedge funds, asset managers, and investment banks.
- Own the full lifecycle of innovation: ideation, prototyping, validation with clients (including top-tier buy-side and sell-side firms), and delivery to production in collaboration with engineering teams.
- Shape how Bloomberg clients use ML/AI to evolve from research to production in scalable, efficient, and reliable ways.
- Tackle challenges in equity, fixed income, macro, and multi-asset workflows.
- Prototype next-generation solutions for buy-side and sell-side institutions (hedge funds, asset managers, and investment banks).
- Leverage the unique combination of Bloomberg’s financial datasets, advanced ML/AI, and domain expertise to help clients accelerate their research, portfolio decisions, and trade execution.
Other
- Excellent collaboration skills with quants, researchers, and engineers
- Strong communication skills to engage internal stakeholders and external clients
- Highly collaborative environment, engaging with product managers, engineers, UX designers, and sales to deliver transformative client solutions.
