Data Analytics - Risk, SPX Express

2-4 Years

This job is no longer accepting applications

Job Description

Job Description

Collect, clean, and validate data from various sources for deep analysis
Analyze transaction data, user activity, and other related data to detect fraud and anomalies/irregularities
Coordinate with Operations, Risk, and Security teams to respond to fraud cases/incidents
Produce regular reports on fraud trends, case resolutions, and risk mitigation efforts
Deliver data-driven insights to proactively identify and mitigate potential business/operational risks and fraud

Requirements

Bachelor's degree in Statistics, Computer Science, Criminology, or related field
Minimum 2 years of working experience in data analytics and insights generation
Proficient and experience in data query & analysis tools (e.g. Excel, SQL, Looker) and advanced analytics language (e.g. Python, R)
Experience in fraud detection, risk analysis, compliance, or similar field
Strong analytical skills, high attention to details, and high standard of integrity & ethics
Ability to make quick, data-informed insights and decisions
Prior experience in logistic industry is an advantage