Quantitative Scientist, PhD New Grad
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Job Description
Quantitative Scientist building production machine-learning models for SentiLink’s identity and fraud-risk solutions. Researching fraud, engineering features, and deploying real-time models across the full ML lifecycle.
Responsibilities:
- Develop and maintain fraud detection models through the full model development lifecycle, from data acquisition and feature engineering through training, production deployment, and monitoring
- Build foundational models for Fraud and Financial Risk products
- Research new types of fraud and develop identity verification products
- Iterate on models and integrate new data sources and inventive feature engineering
- Write production-ready code for real-time decision-making by partners
- Design, perform, and present analyses informing 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, 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
- Legally authorized to work in the United States
- Must live in the United States
- Ability to thrive in a fast-paced environment solving varied, high-impact, open-ended problems
Benefits:
- 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
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