Fraud Data Analyst

RELX (Singapore) Pte Ltd

Singapore
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 position at RELX (Singapore) Pte Ltd is a client-facing role aimed at supporting large banking, financial, and e-commerce customers in fraud detection and identity solutions. The ideal candidate should possess a quantitative or technical degree, with substantial experience in customer engagement and analytics, specifically in financial services. **

Job Summary

  • LexisNexis Risk Solutions provides customers with solutions and decision tools that assist them in evaluating and predicting risk and enhancing fraud detection.
  • This client facing team is driving evidence-based solutions to help our clients make more informed decisions and help mitigate risk.
  • 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.

Matching Summary

Match Score: 75

** The Fraud Data Analyst position at RELX (Singapore) Pte Ltd is a client-facing role aimed at supporting large banking, financial, and e-commerce customers in fraud detection and identity solutions. The ideal candidate should possess a quantitative or technical degree, with substantial experience in customer engagement and analytics, specifically in financial services. **

Salary

Base: $104,900 - $174,700; Bonus/Equity: eligible for annual incentive bonus; Benefits: country specific benefits

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

  • Client-facing customer engagement
  • Evolve to stay ahead of fraudsters
  • Help customers succeed and deliver value

Key Requirements

  • 2+ years experience managing customer-facing solutions
  • 2+ years experience in financial services
  • 2+ years experience delivering analytics using Python or R
  • Demonstrated competence using SQL and Excel
  • Experience investigating financial crimes and fraud
  • Knowledge or research involving cybersecurity

Work Rights

Not specified

Tailored Resume

Cover Letter