Senior Quantitative Researcher (Machine Learning) - Cybersecurity Threat Detection

rs global services • United State

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AI Summary

Build and optimize real-time ML models for detecting account compromise attacks with 100% recall and near-perfect precision. Own the full research pipeline—data extraction, feature engineering, model development, and production deployment—while collaborating with a high-growth team in San Francisco. Requires 4+ years of quantitative research experience at top-tier firms and expertise in statistical modeling, anomaly detection, and production ML systems.

Key Highlights

Own end-to-end ML research pipeline for cybersecurity threat detection with strict recall/precision targets

Work with a seed-stage company doubling revenue, focusing on account-compromise detection and forensics

Collaborate with elite quant and engineering teams in a high-impact, ownership-driven environment

Key Responsibilities

Develop and improve ML models for real-time account-compromise detection targeting 100% recall and near-100% precision

Solve forensics challenges by distinguishing attacker activity from legitimate user activity across full activity timelines

Own the entire research pipeline—data extraction, cleaning, feature engineering, model selection, and production deployment

Design model architectures with production latency constraints in mind and maintain shipped code

Collaborate with a small, elite team while driving specific modeling goals and results

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Technical Skills Required

Machine Learning Statistical Modeling Python

Benefits & Perks

$210,000 - $270,000 annual salary

Competitive equity

5 days in-office in San Francisco, CA

Visa sponsorship available (H1B, TN, OPT transfers)

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Nice to Have

Experience with alternative data in mid-frequency equities

Masters or PhD from a strong institution

Experience working with databases and querying using indexes

Job Description

About the role:

One of clients is looking for a Quantitative Researcher with 4+ years of experience to build the ML models that catch attackers in real time. You'll have deep statistical rigor and enjoy digging into messy alternative data. You'll join an elite team of quants and engineers at a seed-stage company that doubled its revenue in the past 3 months, and you'll have real ownership over detection and forensics, which are core to Petra's product.

What will you be doing?

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