S
$120,000 – $220,000
Listed on SentiLink’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
SentiLink seeks a PhD-level quantitative researcher to develop and deploy machine learning models for fraud detection and financial risk assessment. This role suits early-career researchers who want to apply advanced statistical methods to real-world problems at scale, moving quickly from research to production systems that serve hundreds of millions of identity verifications.
Our summary, not SentiLink’s wording. The full posting is on their site.
Skills this role names
Log in to see which of these are already on your profile.
What they ask for
Required
- PhD in Statistics, Computer Science, Physics, Mathematics, or related quantitative field
- Experience with Python and data science tools
- Foundation in machine learning or applied statistics
- Ability to write clean, maintainable code
- Legally authorized to work in the United States and reside there
Nice to have
- Experience with fraud, identity, or financial risk systems
- PostgreSQL or AWS experience
- Knowledge of production ML deployment