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Fetch
Posted 11 days agoVerified live 1d ago

Platform Intelligence, Intelligence Analyst

Brief overview

Remote
UndergradOr in progress
$68k–$81k/yrStated range
2+ yrsMinimum
65 H-1B approvalsDept. of Labor
21 green cardsCertified filings
Fraud InvestigationsFraud DetectionSQLLarge Dataset AnalysisRules-Based Detection DevelopmentRisk ControlsDetection Performance AnalysisAnomaly DetectionBehavioral AnalyticsFraud-Ring AnalysisIncident ResponseTrust & Safety

About the company

Fetch is a consumer-engagement platform that enables users to earn and redeem rewards.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
65H-1B approved
100%approval rate
28new H-1B hires
21PERM certified
$145,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20237
202424
202531
20263
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20237
20243
20251
20264
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20243
202517
20261
Top sponsored roles
Data Science ManagerAnalytics EngineerSenior Software EngineerHead of Core ML ProductsSenior Data Analyst, User Analytics & Insights
Sponsored employees from
BrazilIndia

Job description

Summary

Fetch is hiring a Platform Integrity Intelligence Analyst to support its Trust & Safety Detection & Intelligence team. The role investigates fraud, abuse, and other threats, develops and improves detection systems, analyzes large datasets, and translates findings into actionable recommendations across product, policy, operations, and enforcement.

Responsibilities

  • Analyze account, device, transaction, receipt, redemption, and behavioral data to identify emerging fraud, abuse, coordinated activity, policy evasion, incentive manipulation, and other threats
  • Conduct structured investigations into suspicious activity and emerging abuse patterns, escalating especially complex or novel threats for additional support
  • Identify connections among accounts, devices, identities, transactions, and behaviors to detect coordinated activity and fraud rings
  • Analyze available evidence to help assess the scope, severity, likely root cause, and business impact of identified threats
  • Support incident response by helping validate threats, define affected populations, recommend containment actions, and document lessons learned
  • Translate investigative findings and known abuse patterns into detection requirements, rules, queries, alerts, dashboards, and scalable monitoring approaches
  • Develop, test, document, and refine rules-based detections in accordance with established quality, governance, and change-management standards
  • Monitor detection performance and investigate changes in alert volume, precision, false-positive rates, coverage, and other indicators of effectiveness
  • Identify false positives, false negatives, detection gaps, and control weaknesses, and recommend improvements that balance fraud prevention with user experience and operational capacity
  • Translate fraud intelligence into actionable recommendations for product controls, policy changes, operational processes, enforcement strategies, and partner protections
  • Communicate emerging risks and material findings promptly through established escalation channels
  • Contribute analytical expertise to product launches, control assessments, vendor evaluations, and other initiatives with potential Trust & Safety implications
  • Share threat trends, attacker behaviors, detection learnings, and investigative methods to strengthen collective knowledge across the organization
  • Maintain accurate and reproducible documentation of investigative methods, detection logic, assumptions, decisions, limitations, and outcomes
  • Manage assigned investigations, detection enhancements, and project work from intake through completion, communicating progress, risks, and dependencies
  • Handle sensitive user, partner, and investigative information in accordance with applicable privacy, security, and data-handling requirements
  • Use AI and automation responsibly, validating outputs and protecting confidential information while applying independent judgment to decisions

Skills

  • 2+ years of experience in fraud analysis, investigations, threat intelligence, trust and safety, risk operations, cybersecurity, data analysis, or a related field or equivalent practical experience
  • Proficiency using SQL to query, join, validate, and analyze large datasets
  • Demonstrated ability to investigate ambiguous or complex activity, identify meaningful patterns, and reach evidence-based conclusions
  • Experience developing, evaluating, or improving fraud rules, risk controls, alerts, monitoring, or investigative workflows
  • Working knowledge of detection-performance concepts such as precision, false positives, false negatives, coverage, baselines, anomalies, and behavioral change
  • Ability to quantify risk and communicate findings through clear documentation, data-supported recommendations, and concise presentations
  • Strong organizational skills and the ability to manage multiple investigations or projects with limited supervision
  • Investigative curiosity and a desire to understand how and why abuse occurs
  • Sound judgment when evidence is incomplete, conflicting, or rapidly changing
  • A disciplined approach to testing hypotheses and documenting conclusions
  • A balance of analytical depth, operational urgency, and awareness of user and partner impact
  • A commitment to measurable outcomes, responsible automation, and continuous improvement
  • Clear, direct communication and a willingness to constructively challenge assumptions
  • Respect for different perspectives and a collaborative approach to solving difficult problems
  • Experience in loyalty or rewards abuse, marketplace integrity, account abuse, e-commerce fraud, promotional abuse, or consumer-platform Trust & Safety
  • Familiarity with anomaly detection, device intelligence, identity risk, or behavioral analytics
  • Experience working with rules engines, case-management systems, version-controlled detection logic, or third-party fraud-prevention platforms
  • Familiarity with adversarial behavior, fraud-ring analysis, incident response, or the investigation of coordinated and rapidly evolving threats
  • Experience using or building AI-assisted workflows, automation, or analytical tools to improve detection development, case enrichment, investigative efficiency, monitoring, or decision support while maintaining appropriate human oversight
  • Experience translating investigative findings into product, policy, operational, or enforcement improvements

Qualifications

Must Haves

  • 2+ years of experience in fraud analysis, investigations, threat intelligence, trust and safety, risk operations, cybersecurity, data analysis, or a related field or equivalent practical experience
  • Proficiency using SQL to query, join, validate, and analyze large datasets
  • Demonstrated ability to investigate ambiguous or complex activity, identify meaningful patterns, and reach evidence-based conclusions
  • Experience developing, evaluating, or improving fraud rules, risk controls, alerts, monitoring, or investigative workflows
  • Working knowledge of detection-performance concepts such as precision, false positives, false negatives, coverage, baselines, anomalies, and behavioral change
  • Ability to quantify risk and communicate findings through clear documentation, data-supported recommendations, and concise presentations
  • Strong organizational skills and the ability to manage multiple investigations or projects with limited supervision
  • Investigative curiosity and a desire to understand how and why abuse occurs
  • Sound judgment when evidence is incomplete, conflicting, or rapidly changing
  • A disciplined approach to testing hypotheses and documenting conclusions
  • A balance of analytical depth, operational urgency, and awareness of user and partner impact
  • A commitment to measurable outcomes, responsible automation, and continuous improvement
  • Clear, direct communication and a willingness to constructively challenge assumptions
  • Respect for different perspectives and a collaborative approach to solving difficult problems

Nice to Haves

  • Experience in loyalty or rewards abuse, marketplace integrity, account abuse, e-commerce fraud, promotional abuse, or consumer-platform Trust & Safety
  • Familiarity with anomaly detection, device intelligence, identity risk, or behavioral analytics
  • Experience working with rules engines, case-management systems, version-controlled detection logic, or third-party fraud-prevention platforms
  • Familiarity with adversarial behavior, fraud-ring analysis, incident response, or the investigation of coordinated and rapidly evolving threats
  • Experience using or building AI-assisted workflows, automation, or analytical tools to improve detection development, case enrichment, investigative efficiency, monitoring, or decision support while maintaining appropriate human oversight
  • Experience translating investigative findings into product, policy, operational, or enforcement improvements

Benefits

  • Equity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
  • 401k Match: Dollar-for-dollar match up to 4%.
  • Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
  • Continuing Education: Fetch provides ten thousand per year in education reimbursement.
  • Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
  • Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break.
  • Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule.
  • Calvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
  • Flexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)

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