Fraud & Identity ML Scientist (Remote)

SentiLink; Austin (TX); On-site; USD 120,000 - 220,000; Full time

Benefits offered by this job

Employer paid health insurance

401(k) with employer match

Flexible PTO

Regular in-person company events

Home office stipend

Job summary

SentiLink is hiring a Quantitative Scientist to build models that identify fraudsters and expand our risk-product portfolio. You will work on ML models in production, from data collection to deployment, applying real-world fraud knowledge in a fast-moving environment.

Ideal for new PhDs or early-career researchers seeking practical ML impact. You will collaborate across teams to research fraud types, develop products, and provide data-driven insights to support sales and risk operations.

Qualifications

• PhD/new PhD graduates or early-career researchers welcome.
• Strong foundation in ML, statistics, or applied data science.
• Experience with Python and data science tools.
• Ability to write clean, maintainable code.
• Strong communication skills and clear explanations.

Responsibilities

• Develop and maintain fraud detection models through full ML lifecycle.
• Build modeling foundations for Fraud and Financial Risk products.
• Research new fraud types and develop products around identity verification.
• Iterate with new data sources and feature engineering.

Skills

Python

Machine learning

Statistics

Data analysis

Communication

Education

Bachelor's/Master's/PhD in Statistics, CS, Physics, Mathematics

Tools

PostgreSQL

AWS

Job description

SentiLink is hiring a Quantitative Scientist to build models that identify fraudsters and expand our risk-product portfolio. You will work on ML models in production, from data collection to deployment, applying real-world fraud knowledge in a fast-moving environment.

Ideal for new PhDs or early-career researchers seeking practical ML impact. You will collaborate across teams to research fraud types, develop products, and provide data-driven insights to support sales and risk operations.