Build and deploy advanced ML models for detecting account compromise attacks with near-perfect precision and recall. Own the full data pipeline—from raw data extraction to production-ready model deployment—while leveraging quant research expertise in a high-growth AI cybersecurity startup. Requires 4+ years in quant research, strong statistical foundations, and hands-on ML production experience.
Key Highlights
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Job Description
I’m hiring a Quantitative Researcher for a seed stage AI cybersecurity company in San Francisco. They stop account takeover attacks for over 2.5 million users across 10,000+ businesses, and they already have very low churn and a packed inbound pipeline.
The founders come from Bridgewater, Palo Alto Networks and Abnormal Security. The team includes quants from SIG and Point72.
The work
This is quant research with a far better signal to noise ratio than markets. It feels like mid frequency alt data research, but you can use sophisticated methods without worrying about overfitting.
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