Senior Fraud Data analyst

RELX (Singapore) Pte Ltd

Base: $104,900 - $174,700; bonus: annual incentive...
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Python pandas sklearn matplotlib experience
Sql and excel proficiency for reporting
3+ years financial services fraud experience
** The Senior Fraud Data Analyst position at RELX (Singapore) Pte Ltd involves supporting large banking, financial, and e-commerce clients in deploying fraud and identity solutions. The role emphasizes technical analytics, client engagement, and the ability to communicate complex findings effectively to both technical and non-technical audiences. **

Job Summary

  • The role involves supporting Tier One banking and e-commerce customers in deploying fraud and identity solutions.
  • Candidates must analyze data to build rules that identify fraud, reduce friction, and regulate customer workflows in real-time.
  • The position offers an annual incentive bonus and country-specific benefits tailored to the employee's location.

Matching Summary

Match Score: 75

** The Senior Fraud Data Analyst position at RELX (Singapore) Pte Ltd involves supporting large banking, financial, and e-commerce clients in deploying fraud and identity solutions. The role emphasizes technical analytics, client engagement, and the ability to communicate complex findings effectively to both technical and non-technical audiences. **

Salary

Base: $104,900 - $174,700; Bonus: Annual incentive bonus eligible; Benefits: Country specific benefits available

Skills & Requirements

Must-have

  • Python pandas sklearn matplotlib experience
  • SQL and Excel proficiency for reporting
  • 3+ years financial services fraud experience
  • Root-cause analysis of client issues
  • Experience with ThreatMetrix DDP implementation

Nice-to-have

  • Excellent communication with non-technical stakeholders
  • Knowledge of cybersecurity and device authentication
  • Graph analysis or statistical scorecard modeling
  • Ability to work in fast-paced changing environment
  • Proof-of-concept analysis delivery skills

Key Requirements

  • Quantitative or technical degree required
  • 3+ years managing large customer-facing solutions
  • 3+ years delivering analytics using Python or R
  • Experience investigating financial crimes like account takeover
  • Demonstrated competence in SQL and Excel

Work Rights

Not specified

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