Quantitative Researcher, PhD New Grad — Fraud & Risk ML

Apply; Northern (KY); Hybrid; USD 120,000 - 220,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Flexible PTO

Regular company-wide in-person events

Home office stipend

Job summary

SentiLink seeks a Quantitative Researcher to build core fraud-detection models and expand our financial risk products. You’ll work on the full ML lifecycle—from research to deployment—gaining hands-on experience in production environments.

Ideal candidates have strong ML foundations, Python skills, and a passion for fraud and identity risk. Remote within the US is possible, with preference for Austin, SF, or NY offices.

Qualifications

• Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research
• Strong foundation in machine learning, statistics, or applied data science
• Experience with Python and common data science tools through coursework, research, internships, or personal projects
• Demonstrated ability to analyze complex problems and build data-driven solutions
• Strong communication skills and ability to explain technical ideas clearly
• Interest in learning deeply about fraud, identity, and financial risk systems
• Ability to write clean, maintainable code
• Strong attention to detail and curiosity about real-world data problems
• Candidates must be legally authorized to work in the United States and must live in the United States
• Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems

Responsibilities

• Develop and maintain SentiLink's fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring
• Build foundational modeling to drive SentiLink's expanding suite of Fraud and Financial Risk products
• Research new types of fraud and develop new SentiLink products around identity verification
• Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering
• Write production-ready code that can be relied on for real-time decision making by our partners
• Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts
• Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access

Skills

Python

Machine learning

Statistics

Data analysis

Communication

Education

Bachelor's/Master's/PhD in quantitative field

Tools

PostgreSQL

AWS

Job description

SentiLink seeks a Quantitative Researcher to build core fraud-detection models and expand our financial risk products. You’ll work on the full ML lifecycle—from research to deployment—gaining hands-on experience in production environments.

Ideal candidates have strong ML foundations, Python skills, and a passion for fraud and identity risk. Remote within the US is possible, with preference for Austin, SF, or NY offices.