Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Statistics @ 3
Machine Learning @ 3
Communication @ 6
NLP @ 3
AI @ 3
Agentic AI @ 3
- 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.
Details
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.
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.
Responsibilities
- Build Agentic AI workflow solutions that redefine how the financial industry conducts research, trading, and risk management.
- Apply advanced ML techniques across signal research, portfolio construction, macroeconomic modeling, and cross-asset investment strategies.
- 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.
- Engage with internal stakeholders and external clients to validate prototypes and drive adoption.
Requirements
- 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 (Master's/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.
Preferred / Nice to Have
- 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.
Compensation & Benefits
- Salary Range: 155000 - 285000 USD Annually + Benefits + Bonus.
- Bloomberg offers a comprehensive benefits plan that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) + match, life insurance, and various wellness programs. (Contingent workers/contractors and interns may not receive benefits.)