Quantitative Scientist, PhD New Grad

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

Build and ship production machine learning models for fraud detection and financial risk. Own end-to-end model development—from data acquisition and feature engineering to training, experimentation, productionalization, and monitoring—while researching new fraud types and identity verification use cases. Work across teams to access high-quality data, write production-ready code for real-time partner decisions, and deliver analyses that guide product, risk operations, marketing, and sales.

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SentiLink
SentiLink
2 days ago

Quantitative Scientist, PhD New Grad

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Last checked: 1 hour agoStatus: Live

Job Summary

Build and ship production machine learning models for fraud detection and financial risk. Own end-to-end model development—from data acquisition and feature engineering to training, experimentation, productionalization, and monitoring—while researching new fraud types and identity verification use cases. Work across teams to access high-quality data, write production-ready code for real-time partner decisions, and deliver analyses that guide product, risk operations, marketing, and sales.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Capital Markets, Trading & Quant
Seniority: Entry level

Key Responsibilities

  • •Develop and maintain fraud detection models across the full lifecycle: data acquisition decisions, featurization, labeling, training, experimentation, productionalization, and monitoring.
  • •Build foundational modeling for SentiLink’s Fraud and Financial Risk products.
  • •Research new types of fraud and develop products around identity verification.
  • •Improve models through iteration, integration of new data sources, and feature engineering.
  • •Write production-ready code and design/present analyses to inform data acquisition, product development, 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 research/experience).
  • •Strong foundation in machine learning, statistics, or applied data science.
  • •Experience using 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 the ability to write clean, maintainable code; must be legally authorized to work in the United States and live in the United States.
Education:PhD / Doctorate in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field
Skills:CommunicationCritical thinkingAttention to detailProblem-solving
Tech Stack:Python 3PostgreSQLAWSEC2S3RDSRedshiftMachine learningFraud detectionData science

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