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Early Warning

Fraud Analytics Lead

Early Warning

. Execute processes to identify fraud methodologies, points of compromise, root causes, observed volumes, and financial and operational impacts .

Posted 10/24/2026full-timeUnited StatesSenior💰 $104,000 - $156,000 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Execute processes to identify fraud methodologies, points of compromise, root causes, observed volumes, and financial and operational impacts
  • Recommend remediation paths based on fraud analysis
  • Create fact-based insights to inform and influence organizational and participating financial institution change
  • Execute ongoing management of compromised credentials to source, link, and control risk from exposed data
  • Analyze and consistently categorize the root cause of observed or attempted fraud events across the network
  • Quickly source, analyze, and deduce fraud root causes consistently and accurately
  • Articulate and influence recommended actions based on advanced analytics insights within the organization and participating financial institutions
  • Identify exposed network credentials, social tokens, and payment information; categorize risk and apply appropriate treatments
  • Support protection of the integrity and confidentiality of systems and data
  • Perform other related duties as assigned by the supervisor

Requirements

What you’ll need
  • Bachelor’s Degree, or equivalent education and/or experience typically obtained through completion of a Bachelor’s Degree
  • Minimum 5 or more years of progressive experience in advanced data analytical skills
  • 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
  • Preferred: Post Graduate degree in Math, Statistics, Data Science, or MBA
  • Preferred: SAS/SQL/R/Python or comparable analytic coding certification
  • Preferred: Experience with two or more financial institutions in fraud risk management
  • Preferred: Experience in both consumer and commercial banking applications
  • Additional related education and/or experience preferred

Benefits

Comp & perks
  • Competitive medical (PPO/HDHP), dental, and vision plans
  • Company contributions to Health Savings Account (HSA)
  • Flexible Spending Accounts (FSA) for commuting, health, and dependent care expenses
  • 401(k) retirement plan with 100% Company Safe Harbor Match on the first 6% deferral immediately upon eligibility
  • Flexible Time Off for exempt salaried employees
  • Generous PTO for non-exempt hourly employees
  • 11 paid company holidays
  • Paid volunteer day
  • 12 weeks of paid parental leave
  • Maven Family Planning support, including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work
  • Discretionary incentive plan