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Sardine

Data Analyst – Fraud Intelligence

Sardine

Data Analyst managing fraud detection analytics for Sardine's Fraud Intelligence team. Designing evaluation frameworks and partnering with stakeholders for actionable fraud intelligence.

Posted 7/1/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $115,000 - $145,000 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Design and execute structured evaluation frameworks to assess the quality, coverage, and fraud-signal value of incoming data assets from vendor partners
  • Build lift analyses, backtests, and champion/challenger comparisons to quantify the incremental value of new data signals against our existing fraud detection stack
  • Profile vendor datasets for completeness, freshness, match rates, and population coverage across verticals (crypto, fintech, neobanks, e-commerce, etc.)
  • Collaborate with fraud leadership to define evaluation criteria tied to real fraud outcomes — false positive rates, catch rates, precision/recall tradeoffs
  • Translate vendor data findings into clear, actionable recommendations: adopt, pilot, deprioritize, or decline
  • Partner with data engineering to define ingestion requirements and ensure test environments reflect production-like conditions
  • Document evaluation results and maintain an internal knowledge base on vendor data performance over time
  • Support ad hoc deep dives into fraud trends, model performance, and client-specific data questions as needed

Requirements

What you’ll need
  • 3–5 years of experience in data analysis, data science, or a related analytical role — ideally in fraud, risk, fintech, or a data-heavy B2B SaaS environment
  • Proficiency in SQL (required) and Python or R for data manipulation, statistical analysis, and visualization
  • Solid understanding of evaluation metrics and statistical concepts: precision/recall, AUC/ROC, lift, population distributions, and A/B testing basics
  • Experience working with external or third-party datasets — assessing data quality, match rates, and signal value
  • Strong written and verbal communication skills; ability to synthesize complex analysis into clear narratives for non-technical stakeholders
  • Comfort with ambiguity and the ability to define your own structure in a fast-moving environment

Benefits

Comp & perks
  • Generous compensation in cash and equity
  • Early exercise for all options, including pre-vested
  • Work from anywhere: Remote-first Culture
  • Flexible paid time off and Year-end break
  • Health insurance, dental, and vision coverage for employees and dependents - *US and Canada specific*
  • 4% matching in 401k / RRSP - *US and Canada specific*
  • MacBook Pro delivered to your door
  • One-time stipend to set up a home office — desk, chair, screen, etc.
  • Monthly meal stipend
  • Monthly social meet-up stipend
  • Annual health and wellness stipend
  • Annual Learning stipend

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Data AnalysisStatistical AnalysisSQLPythonREvaluation MetricsA/B TestingLift AnalysisFraud DetectionData Profiling
Soft Skills
Written CommunicationVerbal CommunicationSynthesis of Complex AnalysisComfort with Ambiguity