Senior Quant Researcher – Agentic AI for Finance

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

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.