Quantitative Researcher, PhD New Grad
SentiLinkFraud Detection company
New York, United States$120,000/year - $220,000/yearJunior
Andreessen Horowitz
Craft Ventures
Felicis Ventures
NYCA Partners
9Yards Capital
Data & AI
About the role
TL;DR
Build fraud detection models and advance financial risk products using machine learning.
- •As a Quantitative Researcher at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk.
- •This role is designed for new PhD graduates or early-career researchers interested in applying machine learning to real-world fraud detection.
- •Key Responsibilities Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
- •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.
- •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, and sales efforts.
- •Requirements 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.
- •Demonstrated ability to analyze complex problems and build data-driven solutions.
- •Candidates must be legally authorized to work in the United States and must live in the United States.
Required skills
Pythonscikit-learnPostgreSQLAWS
Nice-to-have skills
TensorFlowPyTorchNLPComputer Vision
Domain expertise
fintech
Benefits & perks
Employer paid group health insurance for you and your dependents, 401(k) plan with employer match, Flexible paid time off, Regular company-wide in-person events, Home office stipend
Tech stack
PythonPostgreSQLAWSEC2S3RDSRedshiftscikit-learn