The Fraud Data Analyst works as part of a customer engagement team to support large banking, financial, and e-commerce customers in their deployment of fraud and identity solutions
Job Summary
The Fraud Data Analyst works as part of a customer engagement team to support large banking, financial, and e-commerce customers in their deployment of fraud and identity solutions.
Review suspicious activity and complex fraud cases to identify new risks and issues.
Maintain on-going relationships with each client’s fraud managers, risk analysts, application developers, project managers as well as internally with other ThreatMetrix LNRS teams.
Matching Summary
The Fraud Data Analyst works as part of a customer engagement team to support large banking, financial, and e-commerce customers in their deployment of fraud and identity solutions.
Salary
Base: $104,900 - $174,700; Bonus/Equity: Eligible for annual incentive bonus; Benefits: Country specific benefits offered
Skills & Requirements
Must-have
Analyze data for fraud rules
Deliver persuasive analyses
Client-facing consulting
Technical and analytics bent
Investigate financial crimes and fraud
Cybersecurity knowledge
Nice-to-have
Help customers succeed
Excel in fast-paced environment
Evolve to stay ahead of fraudsters
Key Requirements
2+ years managing customer-facing solutions
2+ years in financial services, banks, or e-commerce
2+ years delivering analytics using Python or R
Competence using SQL and Excel
Experience investigating financial crimes and fraud
Knowledge involving cybersecurity
Experience in statistical/scorecard modeling or graph analysis