Quant Researcher

KelAI; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

KelAI seeks a quantitative research professional in New York to onboard, clean, evaluate, and structure new financial and alternative datasets; use AI agents to accelerate alpha research, hypothesis generation, and strategy testing.

You will develop systematic investment strategies from concept through validation, analyze performance, risk, robustness, and implementation constraints; work with engineering to improve KelAI’s research workflows and agent capabilities; and support forward

Qualifications

• 3–5 years of experience in quantitative research, systematic investing, data science, or a related field.
• Strong understanding of financial markets, alpha research, backtesting, and portfolio construction.
• Experience working with large financial datasets and research pipelines.
• Strong Python skills and ability to move independently from data exploration to tested research output.
• Interest in applying AI agents to investment research and systematic strategy development.
• Strong communication skills and ability to work with both technical teams and investment users.

Responsibilities

• Onboard, clean, evaluate, and structure new financial and alternative datasets
• Use AI agents to accelerate alpha research, hypothesis generation, and strategy testing
• Develop systematic investment strategies from research concept through validation
• Analyze performance, risk, robustness, and implementation constraints of research outputs
• Work with engineering to improve KelAI’s research workflows and agent capabilities
• Support forward deployment with hedge funds and institutional investors by translating real research workflows into product and research requirements

Skills

Quantitative research

Python programming

Data analysis

Backtesting

Portfolio construction

Communication skills

Tools

Python

Job description

What You’ll Do

• Onboard, clean, evaluate, and structure new financial and alternative datasets
• Use AI agents to accelerate alpha research, hypothesis generation, and strategy testing
• Develop systematic investment strategies from research concept through validation
• Analyze performance, risk, robustness, and implementation constraints of research outputs
• Work with engineering to improve KelAI’s research workflows and agent capabilities
• Support forward deployment with hedge funds and institutional investors by translating real research workflows into product and research requirements

What We’re Looking For

• 3-5 years of experience in quantitative research, systematic investing, data science, or a related field
• Strong understanding of financial markets, alpha research, backtesting, and portfolio construction
• Experience working with large financial datasets and research pipelines
• Strong Python skills and ability to move independently from data exploration to tested research output
• Interest in applying AI agents to investment research and systematic strategy development
• Strong communication skills and ability to work with both technical teams and investment users