Quantitative Scientist, PhD New Grad
Build and deploy machine learning models that detect fraud and support identity verification and financial risk products. The role suits new PhD graduates or early-career researchers with strong quantitative foundations, Python experience, and interest in end-to-end production data science.
About the job
Responsibilities
- Develop and maintain fraud detection models across the full model development lifecycle, including data acquisition, featurization, labeling, training, experimentation, productionization, and monitoring.
- Build foundational models for Fraud and Financial Risk products.
- Research new types of fraud and develop identity verification products.
- Iterate on research and development, integrate new data sources, and create inventive features.
- Write production-ready code for real-time decision-making.
- Design, perform, and present analyses supporting data acquisition, product development, risk operations, marketing, and sales.
- Collaborate with engineering, risk operations, and data acquisition teams to access data, maintain data quality, and support data access.
Requirements
- Bachelor's, Master's, or PhD in Statistics, Computer Science, Physics, Mathematics, 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.
- Ability to analyze complex problems and build data-driven solutions.
- Strong communication skills and ability to explain technical ideas clearly.
- Interest in fraud, identity, and financial risk systems.
- Ability to write clean, maintainable code.
- Strong attention to detail and curiosity about real-world data problems.
- Legal authorization to work in the United States and residence in the United States.
- Ability to thrive in a fast-paced environment involving varied, high-impact, open-ended problems.
Technologies
- Python 3
- PostgreSQL
- AWS infrastructure, including EC2, S3, RDS, and Redshift
Compensation and Benefits
- Salary range: $120,000/year–$220,000/year, plus equity and benefits.
- Employer-paid group health insurance for employees and dependents.
- 401(k) plan with employer match.
- Flexible paid time off.
- Regular company-wide in-person events.
- Home office stipend.
Skills
Python, Postgres, AWS, Amazon Ec2, Amazon S3, Amazon Rds, Amazon Redshift, Machine Learning, Statistics, Applied Data Science, Feature Engineering, Model Training, Data Analysis, Fraud Detection, Identity Verification
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