Manager, Fraud Data Team at Chainalysis

Tel Aviv-Yafo, TA, Israel

Chainalysis Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Threat Intelligence, CybersecurityIndustries

Requirements

  • Hands-on experience with SQL databases, Python, data warehousing platforms, and a background in analytics
  • Experience managing data pipelines, ETL workflows, or real-time monitoring systems
  • Demonstrated success in building and managing a high-performing data or analytics team
  • Ability to communicate complex analytical concepts clearly to executives, customers, and cross-functional partners
  • Fluency in English and Hebrew
  • Nice to have: Familiarity with machine learning concepts and their application to fraud detection
  • Nice to have: Understanding of cloud

Responsibilities

  • Lead a team of analysts responsible for researching scams and fraud patterns, and operationalizing those insights into scalable detection pipelines
  • Design and define the company’s fraud-related data structures — including data collection, normalization, enrichment, and quality standards
  • Conduct deep analysis on fraud trends, behavioral patterns, and emerging threats, turning findings into actionable intelligence for internal teams
  • Support internal and external data needs across Fraud, Risk, Product, Engineering, Customer Success, and Compliance
  • Build and maintain dashboards, monitoring tools, and metrics that improve pipeline quality, data quality, and visibility into fraud trends
  • Translate business and investigative requirements into clear technical data designs, schemas, and analytical models
  • Collaborate with Product and Engineering teams to integrate fraud logic, data features, and detection insights into platform capabilities
  • Communicate complex fraud concepts and analytical findings in an understandable way to investigators, leadership, and customer-facing teams
  • Drive continuous improvement in fraud detection logic, expand coverage across scam scenarios, and proactively identify new areas of development
  • Maintain strong data governance, documentation, and integrity for all fraud-related datasets and processes

Skills

Key technologies and capabilities for this role

Data AnalysisPrompt EngineeringLLMData PipelinesFraud DetectionAnalyticsData StructuresData NormalizationData EnrichmentDashboardsSQLPythonETLMonitoring ToolsMetrics

Questions & Answers

Common questions about this position

Is this role remote or onsite?

This is an onsite position.

What technical skills are required for this role?

Candidates need hands-on experience with SQL databases, Python, data warehousing platforms, and a background in analytics, plus experience managing data pipelines, ETL workflows, or real-time monitoring systems.

What leadership experience is needed for the Manager, Fraud Data Team role?

Demonstrated success in building and managing a high-performing data or analytics team is required.

What communication skills are important for this position?

The ability to communicate complex analytical concepts clearly to executives, customers, and cross-functional partners is essential, along with fluency in English and Hebrew.

What makes a strong candidate for this role?

Strong candidates will have hands-on technical experience in SQL, Python, and data pipelines, proven success managing high-performing analytics teams, clear communication skills, and fluency in English and Hebrew; familiarity with machine learning for fraud detection is a nice-to-have.

Chainalysis

Cryptocurrency investigation and compliance solutions

About Chainalysis

Chainalysis provides tools and services for investigating and ensuring compliance in the cryptocurrency space. Their products help law enforcement agencies, regulators, and businesses identify and prevent illegal activities involving digital currencies. The company offers subscription-based software solutions that deliver actionable intelligence and analytics, allowing clients to maintain the integrity of their financial operations. Unlike many competitors, Chainalysis focuses specifically on building trust in blockchain technology by promoting transparency and security in cryptocurrency transactions.

New York City, New YorkHeadquarters
2014Year Founded
$522MTotal Funding
SERIES_FCompany Stage
Government & Public Sector, Fintech, Crypto & Web3Industries
501-1,000Employees

Risks

Stablecoin rise threatens traditional remittance services, impacting Chainalysis' financial sector clients.
Blockchain security vulnerabilities challenge Chainalysis' comprehensive security solutions.
Persistent use of crypto mixers complicates Chainalysis' tracking and prevention efforts.

Differentiation

Chainalysis offers comprehensive anti-money laundering software for Bitcoin businesses.
Its REACTOR tool visualizes data and identifies offenders in cryptocurrency transactions.
Chainalysis provides real-time API for transaction-based risk scoring and compliance.

Upsides

Rising stablecoin adoption increases demand for Chainalysis' blockchain analytics.
Public-private partnerships in crypto crime prevention boost Chainalysis' investigative tool demand.
Emerging markets like Syria offer new opportunities for Chainalysis' compliance services.

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