Quantitative Researcher
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.
- Build and improve ML models for account compromise detection, targeting 100% recall and near 100% precision
- Solve forensics problems by separating attacker activity from real user activity
- Own the full pipeline: pull your own data, clean it, engineer features, model itChoose architectures with production latency in mind, then ship and maintain your own code
- What they’re looking for 4+ years as a Quantitative Researcher at a top hedge fund or prop trading firm
- Strong statistics, linear algebra and anomaly detection fundamentals
- Experience shipping ML models to production, not just notebooks
- Python, SQL and GitBS or higher in CS, Maths, Statistics or another quantitative field from a top program (MS or PhD a plus)
- Alt data experience in mid frequency equities is a big plus
- The package$210K to $270K base, plus seed stage equity5 days a week onsite in San FranciscoH1B and OPT transfers considered; new sponsorship for exceptional candidates