Senior Fraud Analytics Lead: Risk Insights & Remediation

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

Benefits offered by this job

Healthcare Coverage

401(k) Retirement Plan with company100

Paid Time Off

Paid Parental Leave

Maven Family Planning

Job summary

Early Warning Services LLC in the United States is seeking a seasoned fraud analyst to execute advanced analytics, identify root causes of fraud, and quantify impact across the network. You will source data, build insights, and influence remediation decisions with participating institutions.

The role requires 5+ years in data analytics, strong SAS/SQL/R/Python skills, and experience with payments networks. Hybrid work, competitive salary in NY area, and comprehensive benefits.

Qualifications

• Bachelor's degree or equivalent experience.
• 5+ years of progressive data analytics experience.
• 3+ years with SAS/SQL/R/Python or comparable analytic coding.
• Proven ability to translate concepts into actionable analysis for change.
• Exceptional written and verbal communication skills.

Responsibilities

• Execute analysis to identify root causes of fraud events observed in the network.
• Develop fraud analyses to quickly source, analyze and deduce root causes across the network.
• Articulate insights to leadership and participating financial institutions to drive remediation actions.
• Manage discipline to identify exposed credentials and payment data, classify risk, and apply risk treatments.
• Protect the integrity and confidentiality of systems and data.

Skills

Data analytics

Communication skills

Fraud domain knowledge

Digital banking/payments

Problem solving

Education

Bachelor's Degree

Tools

SAS/SQL/R/Python

Job description

Early Warning Services LLC in the United States is seeking a seasoned fraud analyst to execute advanced analytics, identify root causes of fraud, and quantify impact across the network. You will source data, build insights, and influence remediation decisions with participating institutions.

The role requires 5+ years in data analytics, strong SAS/SQL/R/Python skills, and experience with payments networks. Hybrid work, competitive salary in NY area, and comprehensive benefits.