/roles — ROLE_3
Head of Machine Learning - Application Fraud
Fast-growing fraud-prevention company whose real-time identity checks help banks and lenders block fake and stolen identities at account opening
The role
- COMP
- $230K - $260K
- EQUITY
- Competitive equity
- LOCATION
- New York · San Francisco · South Bay Area · Los Angeles · Boston · Seattle · Texas · Chicago · Washington DC · Denver · Florida
- WORKPLACE
- Remote
- EXPERIENCE
- 7 - 15 years
- VISA
- None, Visa transfers
- STACK
- Python, PostgreSQL, AWS
- INDUSTRY
- Software Development, Fintech, Financial Services, Cybersecurity, Security, Data, AI
The company
Fraud-intelligence company helping major financial institutions stop identity fraud at the application stage.
- STAGE
- growth-stage
- FUNDING
- $80M+ raised
- TEAM
- 150+ people
- FOUNDED
- 2017
- BACKING
- backed by Craft Ventures, Felicis, a16z
JD — the work
About the role
A player-coach leadership role: manage and grow a team of full-stack data scientists building the fraud-detection models behind a widely used identity-risk platform. You'd be the technical leader and mentor for a domain with high visibility — and stay hands-on across the full model lifecycle.
What you'll do
- Manage a team of 2-3 data scientists, growing it to 5-6
- Mentor deeply and technically — dive into the work, probe understanding, raise the bar
- Lead planning, resourcing, and communication with senior leadership, product, and engineering
- Own fraud models end to end: data acquisition, featurization, labeling strategy, training, productionization, monitoring
- Research emerging fraud patterns and shape new identity-verification products
- Write production-ready code used for real-time decisions by partner institutions
What they're looking for
- Strong full-stack data-science background: modeling, analysis, and production code
- Appetite for end-to-end ownership in a fast-moving, domain-driven environment
- Leadership through depth — insight and iteration over methodology novelty