Quant Research Scientist (PhD) - Fraud & Identity

SentiLink; San Francisco (CA); On-site; USD 120,000 - 220,000; Full time

Benefits offered by this job

Employer paid health insurance

401(k) with company match

Flexible paid time off

In-person company events

Home office stipend

Job summary

SentiLink is hiring a Quantitative Researcher to build core ML models that identify fraudsters and expand risk products. You will apply machine learning to real-world fraud detection and ship models in production, gaining end-to-end exposure from research to deployment.

This role offers remote work within the United States with a preference for candidates near Austin, San Francisco, or New York offices, and involves cross-functional collaboration across engineering, risk, and data teams.

Qualifications

• Quantitative background with ML and data science experience.
• Ability to apply ML to fraud detection and risk modeling.
• Strong communication to explain technical concepts clearly.

Responsibilities

• Develop and maintain fraud detection models across the ML lifecycle.
• Research new fraud types and build products around identity verification.
• Collaborate with teams to drive product development and sales insights.
• Produce production-ready code for real-time decision making.

Skills

Statistics

Python

Machine learning

Data science

Communication

Education

Bachelor/Master/PhD in Statistics/CS/Physics/Math

Tools

PostgreSQL

AWS

Job description

SentiLink is hiring a Quantitative Researcher to build core ML models that identify fraudsters and expand risk products. You will apply machine learning to real-world fraud detection and ship models in production, gaining end-to-end exposure from research to deployment.

This role offers remote work within the United States with a preference for candidates near Austin, San Francisco, or New York offices, and involves cross-functional collaboration across engineering, risk, and data teams.