Quantitative Researcher, PhD
Job Summary
As a full-time remote Quantitative Researcher, PhD new graduate will develop and maintain fraud detection models while researching new types of fraud and building products in financial risk, gaining hands-on experience across the full machine learning lifecycle.
Key responsibilities
- Develop and maintain fraud detection models through the full model development lifecycle
- Build foundational modeling to support SentiLink's expanding suite of Fraud and Financial Risk products
- Research new types of fraud and contribute to the development of identity verification products
Required qualifications
- Bachelor's, Master's, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field
- Strong foundation in machine learning, statistics, or applied data science
- Experience with Python and common data science tools through coursework, research, or projects
- Demonstrated ability to analyze complex problems and build data-driven solutions
- Interest in learning about fraud, identity, and financial risk systems
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