Senior Fraud Data Analyst

The Senior Fraud Data Analyst works as part of a customer engagement team to support Tier One large banking, financial, and e-commerce customers in their deployment of fraud and identity solutions. This is primarily a consultant role with a technical and analytics bent.

Requirements

• Quantitative or technical degree
• 3+ years of experience managing large customer-facing solutions
• 3+ years of experience in financial services, banks, or e-commerce organizations
• 3+ years of experience delivering analytics using tools such as Python (pandas, sklearn, matplotlib) or R
• Demonstrated competence using SQL and Excel for reports
• Willingness to conduct root-cause analysis of client’s issues and learn new products
• Motivated to help customers succeed and deliver value through proof-of-concept analysis
• Excellent communication skills, with the ability to present technical findings to non-technical stakeholders
• Extensive multi-tasking and prioritization skills
• Experience investigating financial crimes and fraud -- account takeover, card not present, money laundering, social engineering etc.
• Knowledge or research involving cybersecurity - browser-fingerprinting, public key infrastructure, computer networking, device authentication etc.
• Experience in statistical/scorecard modeling or graph analysis to deliver insights – especially as it pertains to credit risk or fraud detection

Benefits

• annual incentive bonus
• country specific benefits
• EEO (Equal Employment Opportunity)
• EEO Know Your Rights