Quantitative Researcher, PhD New Grad

SentiLink
United States
Workplace: RemoteFull timeUSD 120,000 - 220,000 annuallyFunction: Capital Markets, Trading & QuantEducation: phdSkills: ["Communication","Critical thinking","Problem-solving"]

Build and ship machine learning models for fraud detection and financial risk, owning the full ML lifecycle from data acquisition and featurization through training, productionalization, and monitoring. Work across teams to research emerging fraud types and identity verification products, write production-ready code for real-time decisioning, and produce analyses that inform data, product, risk, marketing, and sales priorities.

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SentiLink
SentiLink
2 days ago

Quantitative Researcher, PhD New Grad

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Last checked: 3 hours agoStatus: Live

Job Summary

Build and ship machine learning models for fraud detection and financial risk, owning the full ML lifecycle from data acquisition and featurization through training, productionalization, and monitoring. Work across teams to research emerging fraud types and identity verification products, write production-ready code for real-time decisioning, and produce analyses that inform data, product, risk, marketing, and sales priorities.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Capital Markets, Trading & Quant
Seniority: Graduate level

Key Responsibilities

  • •Develop and maintain fraud detection models across the full model lifecycle, including data acquisition, featurization, labeling, training, experimentation, productionalization, and monitoring.
  • •Build foundational modeling to expand SentiLink’s Fraud and Financial Risk product suite.
  • •Research new types of fraud and develop identity verification products.
  • •Iterate on solutions by integrating new data sources and performing feature engineering.
  • •Write production-ready code and design, perform, and present analyses to inform data, product, risk operations, marketing, and sales.

Pay and Benefits

Salary: USD 120,000 - 220,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kPaid LeaveHome Office

Key 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 via 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.
Education:PhD / Doctorate
Skills:CommunicationCritical thinkingProblem-solving
Tech Stack:Python 3PostgreSQLAWSEC2S3RDSRedshiftMachine learningStatistics

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

SentiLink
Provides machine learning-based identity verification and fraud prevention solutions to financial services companies, helping detect synthetic identities, account takeover, and payment fraud to reduce losses and onboarding risk.
Industry: Cybersecurity
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Funding: Series C
Headquarters: San Mateo, United States
Founded: 2017
WebsiteLinkedIn