About the role
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
About KelAI
The AI Quant: Autonomous Alpha Engine for Funds and Traders.
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Job details
Salary
$150,000 - $200,000
Location
New York, NY
Experience
3+ years
Funding
Total raised
$5M
Last stage
Seed
Investors
Founders
What happens next.
No applications, no recruiter spam. Just the intro.
01
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
02
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
03
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.