Fraud Analytics Lead: Insight Architect & Risk Strategist

Early Warning

Chicago (IL)

Hybrid

USD 104,000 - 130,000

Full time

6 hours ago
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Benefits offered by this job

Healthcare coverage
401(k) match
Paid time off
Parental leave

Job summary

Early Warning, a leader in payments protection, seeks a seasoned Fraud Data Analyst in the Chicago area. You will execute analyses to identify fraud root causes, develop rapid analyses across the network, and articulate insights to internal teams and partner banks.

The role emphasizes protecting credential data and driving remediation actions. Ideal candidates have 5+ years of data analytics experience and 3+ years with SAS/SQL/R/Python, with strong communication skills and experience in digital

Qualifications

  • Bachelor’s degree required.
  • Minimum 5+ years of progressive data analytics experience.
  • Minimum 3 years of SAS/SQL/R/Python or comparable analytic coding experience.
  • Proven ability to translate concepts into analyses and actionable change.
  • Excellent written and verbal communication skills.
  • Experience with digital banking, payments, or payment networks.
  • Background and drug screen.

Responsibilities

  • Execute analyses to identify root causes of fraud events in the network.
  • Develop fraud analyses to quickly source and deduce root causes.
  • Convey insights to stakeholders within the organization and with participating financial institutions.
  • Identify exposed network credentials and categorize risk with appropriate treatments.
  • Support protection of the integrity and confidentiality of systems and data.

Skills

Advanced analytics
Data storytelling
Fraud risk domain knowledge
Communication skills
Problem solving

Education

Bachelor’s Degree

Tools

SAS
SQL
R
Python

Job description

Early Warning, a leader in payments protection, seeks a seasoned Fraud Data Analyst in the Chicago area. You will execute analyses to identify fraud root causes, develop rapid analyses across the network, and articulate insights to internal teams and partner banks.

The role emphasizes protecting credential data and driving remediation actions. Ideal candidates have 5+ years of data analytics experience and 3+ years with SAS/SQL/R/Python, with strong communication skills and experience in digital

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