Fraud Data Analyst

LexisNexis® Risk Solutions

Base: $104,900 - $174,700; bonus/equity: eligible ...
Analyze data to build and adjust fraud rules
Deliver persuasive analyses to audiences
Advise clients on best practices
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.
  • Responsibilities include reviewing suspicious activity, analyzing data to build and adjust rules, and delivering persuasive analyses to both technical and non-technical audiences.
  • The company's core mission is to ultimately help make communities safer and to protect those who may be vulnerable to fraud.

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 to build and adjust fraud rules
  • Deliver persuasive analyses to audiences
  • Advise clients on best practices
  • Investigate financial crimes and fraud
  • Knowledge of cybersecurity concepts

Nice-to-have

  • Statistical/scorecard modeling or graph analysis
  • Client-facing consulting experience
  • Evolve to stay ahead of fraudsters

Key Requirements

  • 2+ years experience managing customer-facing solutions
  • 2+ years experience in financial services, banks, or e-commerce
  • 2+ years experience delivering analytics using Python or R
  • Demonstrated competence using SQL and Excel
  • Experience investigating financial crimes and fraud

Work Rights

Not specified

Tailored Resume

Cover Letter