Quant Researcher - Agentic AI CTO Office

Bloomberg; New York (NY); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Access to extensive financial datasets

Collaborative work environment

Job summary

Bloomberg is seeking a seasoned AI developer to build innovative Agentic AI workflow solutions for the financial industry. The ideal candidate will have over 10 years in quantitative research and machine learning, and 5 years in capital markets. You will apply advanced ML techniques and own the lifecycle of innovation from ideation to production. This collaborative role offers opportunities to work on complex problems and deliver impactful financial solutions utilizing Bloomberg's extensive datasets.

Qualifications

• 10+ years in quantitative research, machine learning, or financial AI development.
• 5+ years in capital markets (equity, fixed income, or macro).
• Prior experience designing and deploying AI solutions in a financial context.
• Strong foundation in statistics, ML, and AI with real-world applications.
• Familiarity with AI tools for coding and innovation.

Responsibilities

• Build Agentic AI workflow solutions for the financial industry.
• Apply advanced ML techniques in impactful problem spaces.
• Own the full lifecycle of innovation from ideation to delivery.

Skills

Quantitative research

Machine learning

AI development

Statistical analysis

Collaboration

Communication

Education

Advanced degree (Masters/PhD) in a quantitative field

Tools

AI tools

Job description

Who we are:

The Bloomberg CTO Office is the future‑looking technical arm of Bloomberg L.P. We envision, design and prototype the next generation infrastructure, hardware and applications that interface in all aspects of the company including financial products, broadcast and media, data centers, internal IT and our global network. We are passionate about what we do.

What we do:

BQuant is Bloomberg’s cloud‑hosted quantitative investment research platform, built on JupyterLab and designed specifically for financial markets.

As the centralized BQuant Research team, we drive product innovation through cutting‑edge research in Agentic AI, Machine Learning, NLP, and Quantitative Finance. We work across asset classes and market domains to prototype next‑generation solutions for buy‑side and sell‑side institutions (including hedge funds, asset managers, and investment banks). Our mission is to help clients accelerate their research, portfolio decisions, and trade execution by leveraging the unique combination of Bloomberg’s financial datasets, advanced AI technology, and domain expertise.

We work at the forefront of AI in capital markets, tackling challenges in equity, fixed income, macro, and multi‑asset workflows. Our team operates in a highly collaborative environment, engaging with product managers, engineers, UX designers, and sales to deliver transformative client solutions.

What’s in it for you:

Bloomberg offers the richest and most comprehensive financial datasets across asset classes in the world, paired with extensive product offerings from data to analytics to trading and investment management.

You will have the opportunity to:

• Build Agentic AI workflow solutions that redefine how the financial industry conducts research, trading, and risk management.
• Apply advanced ML 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 AI to evolve from research to production in scalable, efficient, and reliable ways.

The problems you’ll work on are complex, cutting‑edge, and highly impactful; spanning everything from signal research, to portfolio construction, and to macroeconomic modeling and cross‑asset investment strategies.

You’ll need to have:

• 10+ years in quantitative research, machine learning, or financial AI development, including 5+ years in capital markets (equity, fixed income, or macro)
• Prior experience designing and deploying AI solutions in a financial market context
• Advanced degree (Masters/PhD) in a quantitative field (e.g., Computer Science, Financial Engineering, Statistics, Applied Math, Physics)
• Strong foundation in statistics, ML, and AI, with proven real‑world applications in finance
• Familiarity with AI tools for coding and innovation process
• Excellent collaboration skills with quants, researchers, and engineers
• Strong communication skills to engage internal stakeholders and external clients

We’d like to see:

• Research experience in multi‑asset and cross‑asset strategies
• Deep curiosity and passion for Agentic AI solutions in finance
• A track record of overcoming complex challenges through collaboration and innovation