Senior Fraud Analytics Lead | Hybrid Work

Early Warning; New York (NY); Hybrid; USD 125,000 - 156,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) match

Paid time off

Parental leave

Maven Family Planning

Job summary

Early Warning is seeking a seasoned Fraud Analytics professional to drive advanced data-driven insights and identify root causes of fraud across the payment network. The role focuses on sourcing, linking, and controlling risk from exposed credential data while influencing actionable remediation strategies with financial institutions.

The candidate will leverage SAS/SQL/Python/R to deliver timely analyses, articulate findings, and help protect the integrity of payments.

Qualifications

• Bachelor’s degree or equivalent experience.
• Minimum 5+ years of progressive experience in advanced data analytics.
• Minimum 3 years of SAS/SQL/R/Python or comparable analytic coding experience.
• Proven track record of converting concepts to analysis to cases for change.
• Exceptional written and verbal communication skills.
• Experience with digital banking, payments and/or payment networks.
• Background and drug screen.

Responsibilities

• Execute analysis for identifying and consistently categorizing the root cause of fraud events observed or attempted in the network.
• Develop fraud analysis to quickly source, analyze and deduce root cause consistently and accurately across the network.
• Be able to effectively articulate and influence within the organization and those at the participating financial institutions on actions recommended, based on insights derived from advanced analytics.
• Execution of a discipline to identify exposed network credentials, social tokens and payment information; categorize the risk of the same and apply appropriate risk treatments to those data elements.
• Support the company’s commitment to protect the integrity and confidentiality of systems and data.

Skills

Advanced data analytics

Fraud domain knowledge

Communication skills

Financial services understanding

Education

Bachelor’s Degree

Tools

SAS

SQL

Python

R

Job description

Early Warning is seeking a seasoned Fraud Analytics professional to drive advanced data-driven insights and identify root causes of fraud across the payment network. The role focuses on sourcing, linking, and controlling risk from exposed credential data while influencing actionable remediation strategies with financial institutions.

The candidate will leverage SAS/SQL/Python/R to deliver timely analyses, articulate findings, and help protect the integrity of payments.