Quant Researcher - Agentic AI CTO Office

Bloomberg - New York, NY

Hiring: Quant Researcher - Agentic AI CTO Office Company: Bloomberg Location: New York, NY Job Posted Time: 2026-09-10 10:37:42 Target Skills & Keywords : Capital Markets, Fixed Income, JupyterLab, Machine Learning, NLP About the job Experience: •10+ years in quantitative research, machine learning, or financial AI development, including 5+ years in capital markets (equity, fixed income, or macro) Qualifications: •BQuant is Bloomberg’s cloud-hosted quantitative investment research platform, built on JupyterLab and designed specifically for financial markets. •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. •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. •Have The Opportunity To Build Agentic AI workflow solutions that redefine how the financial industry conducts research, trading, and risk management. •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. •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) Compensation: •$155,000 - $285,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!