
Quantitative Researcher, PhD
Posted Aug 9

Posted Aug 9
This is a fully remote position, open to applicants in United States.
• Develop and oversee fraud detection models throughout the entire model development lifecycle, from data acquisition decisions to featurization, labeling, model training, experimentation, productionalization, and monitoring.
• Create foundational models for Fraud and Financial Risk products.
• Investigate new fraud types and formulate products centered around identity verification.
• Iterate on research and development, incorporate new data sources, and implement innovative feature engineering.
• Produce production-ready code to facilitate real-time decision-making for partners.
• Design, execute, and present analyses that guide data acquisition, product development, risk operations, marketing, and sales.
• Collaborate with engineering, risk operations, and data acquisition teams to ensure access to necessary data, uphold data quality, and support data access.
• Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative discipline, or equivalent experience/research.
• Solid foundation in machine learning, statistics, or applied data science.
• Proficiency in Python and commonly used data science tools acquired through coursework, research, internships, or personal projects.
• Proven capability to analyze complex issues and develop data-driven solutions.
• Excellent communication skills with the ability to convey technical concepts clearly.
• Eagerness to gain in-depth knowledge about fraud, identity, and financial risk systems.
• Competence in writing clean, maintainable code.
• Keen attention to detail and curiosity regarding real-world data challenges.
• Must be legally authorized to work in the United States.
• Must reside in the United States.
• Ability to excel in a fast-paced environment while addressing diverse, high-impact, open-ended challenges.
• 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.
Thermo Fisher Scientific
ASCOR
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