Senior Fraud Analytics & Risk Lead

Early Warning

San Francisco (CA)

Hybrid

USD 104,000 - 156,000

Full time

8 hours ago
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Benefits offered by this job

Healthcare coverage
401(k) matching
Paid time off
Parental leave
Maven benefits

Job summary

Early Warning, a trusted payments innovator, operates a hybrid work model in the United States. The role focuses on executing fraud analytics, identifying root causes, and informing remediation strategies across participating financial institutions. You will manage compromised credential data and drive risk-informed decisions.

The ideal candidate has 5+ years in data analytics, strong SAS/SQL/Python skills, and experience in digital banking or payments. A bachelor’s degree is required.

Qualifications

  • Bachelor’s degree or higher in a relevant field.
  • 5+ years of advanced data analytics experience.
  • 3+ years of SAS/SQL/R/Python or comparable analytics.
  • Proven ability to translate concepts into actionable analyses.
  • Excellent written and verbal communication skills.
  • Experience with digital banking, payments, or payment networks.
  • Background and drug screening required.

Responsibilities

  • Perform root-cause analysis of fraud events.
  • Develop fraud analyses across the network.
  • Communicate insights to internal and external stakeholders based on analytics.
  • Identify compromised credentials and apply risk treatments.
  • Support data security and confidentiality of systems and data.

Skills

Data analytics
Communication
Digital banking
SAS/SQL/R/Python
Root cause analysis
Fraud risk awareness

Education

Bachelor’s Degree

Tools

SAS
SQL
R
Python

Job description

Early Warning, a trusted payments innovator, operates a hybrid work model in the United States. The role focuses on executing fraud analytics, identifying root causes, and informing remediation strategies across participating financial institutions. You will manage compromised credential data and drive risk-informed decisions.

The ideal candidate has 5+ years in data analytics, strong SAS/SQL/Python skills, and experience in digital banking or payments. A bachelor’s degree is required.

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