Quantitative Researcher, PhD

SentiLink

Quantitative Researcher building production machine-learning models for SentiLink’s identity and fraud-risk platform. Researching fraud, engineering features, and analyzing data across the full ML lifecycle.

Posted 8/8/2026full-timeRemote • 🇺🇸 United StatesEntry Level💰 $120,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining fraud detection models, utilizing machine learning and statistical analysis to create data-driven solutions. Proficient in Python and data science tools, with a strong focus on clean coding practices and collaboration across teams.

Highest-signal resume keywords

Machine LearningPython ProgrammingData AnalysisFraud DetectionStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical AnalysisData ScienceFeature EngineeringModel TrainingData AcquisitionReal-Time Decision MakingData Quality MaintenanceProduction-Ready CodeExperimentation

Soft Skills

Strong Communication SkillsAttention to DetailCuriosityProblem SolvingCollaboration

Tools & Technologies

Data Science ToolsPython

Industry Keywords

Fraud DetectionFinancial RiskIdentity VerificationData-Driven SolutionsQuantitative Field

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop and maintain fraud detection models through the full model development lifespan, from data acquisition decisions through featurization, labeling, model training, experimentation, productionalization, and monitoring
Build foundational models for Fraud and Financial Risk products
Research new types of fraud and develop products around identity verification
Iterate on research and development, integrate new data sources, and create 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 acquisitions teams to access necessary data, maintain data quality, and support data access

Requirements

What you’ll need

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
Must be 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

Comp & 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