Quant Researcher - Agentic AI CTO Office

at Bloomberg

📍 New York City, United States

USD 155,000-285,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 8 Agentic AI @ 6 Communication @ 7 Machine Learning @ 8 Mathematics @ 6 NLP Statistics @ 7

Details

The Bloomberg CTO Office is the future-looking technical arm of Bloomberg L.P., envisioning, designing, and prototyping next-generation infrastructure, hardware, and applications across financial products, broadcast and media, data centers, internal IT, and the global network.

BQuant is Bloomberg’s cloud-hosted quantitative investment research platform, built on JupyterLab and designed specifically for financial markets. The centralized BQuant Research team drives product innovation through research in Agentic AI, machine learning, natural language processing, and quantitative finance. The team works across asset classes and market domains to prototype solutions for hedge funds, asset managers, and investment banks.

Responsibilities

Build Agentic AI workflow solutions for financial research, trading, and risk management.
Apply advanced machine learning techniques to high-impact problems across capital markets.
Own the full lifecycle of innovation, including ideation, prototyping, client validation, and delivery to production in collaboration with engineering teams.
Develop solutions spanning signal research, portfolio construction, macroeconomic modeling, and cross-asset investment strategies.
Help Bloomberg clients use AI in scalable, efficient, and reliable ways, from research through production.
Collaborate with product managers, engineers, UX designers, quants, researchers, and sales teams to deliver client solutions.
Engage with internal stakeholders and external clients, including buy-side and sell-side institutions.

Requirements

10+ years of experience in quantitative research, machine learning, or financial AI development.
5+ years of experience in capital markets, including equity, fixed income, or macro markets.
Experience designing and deploying AI solutions in a financial market context.
Master’s or PhD degree in a quantitative field such as computer science, financial engineering, statistics, applied mathematics, or physics.
Strong foundation in statistics, machine learning, and artificial intelligence, with proven real-world applications in finance.
Familiarity with AI tools for coding and innovation processes.
Excellent collaboration skills with quants, researchers, and engineers.
Strong communication skills for engaging internal stakeholders and external clients.
Research experience in multi-asset and cross-asset strategies is desirable.
Curiosity and passion for Agentic AI solutions in finance.
Track record of overcoming complex challenges through collaboration and innovation.

Benefits

Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs. Additional benefits and bonus compensation may apply.