Fraud Analytics Lead

Early Warning Services•Scottsdale, AZ
•Hybrid

About The Position

The Fraud Analytics Lead executes processes to identify fraud methodologies, points of compromise, root causes, observed volumes, and financial and operational impacts, and recommends remediation paths. The role develops fact-based insights to inform and influence change across Early Warning and participating financial institutions. It also manages a compromised-credential discipline to source, link, and control risk from exposed data. The position works in a hybrid environment and supports the protection of the integrity and confidentiality of company systems and data. Candidates must independently be eligible to work in the United States for any employer at the date of hire; employment visa sponsorship is not available. A background and drug screen are required.

Requirements

  • Education and/or experience typically obtained through completion of a bachelor's degree.
  • At least 5 years of progressive experience in advanced data analytics.
  • At least 3 years of experience with SAS, SQL, R, Python, or comparable analytic coding.
  • A proven track record of converting concepts into analysis and cases for change.
  • Exceptional written and verbal communication skills.
  • Experience with digital banking, payments, and/or payment networks.
  • Must complete a background and drug screen.

Nice To Haves

  • A postgraduate degree in Mathematics, Statistics, Data Science, or an MBA.
  • Certification in SAS, SQL, R, Python, or comparable analytic coding.
  • Experience with two or more financial institutions in fraud risk management.
  • Experience in both consumer and commercial banking applications.
  • Additional related education and/or experience.

Responsibilities

  • Analyze fraud events observed or attempted in the network and consistently categorize their root causes.
  • Source, analyze, and determine fraud root causes quickly, consistently, and accurately across the network.
  • Communicate and influence recommended actions within the organization and among participating financial institutions using insights from advanced analytics.
  • Identify exposed network credentials, social tokens, and payment information; categorize their risk and apply appropriate risk treatments.
  • Support the protection of the integrity and confidentiality of systems and data.
  • Perform other related duties as assigned by the supervisor.

Benefits

  • Competitive medical (PPO/HDHP), dental, and vision plans.
  • Company contributions to a Health Savings Account or pre-tax flexible spending accounts for commuting, health, and dependent-care expenses.
  • 401(k) plan with a 100% company Safe Harbor match on the first 6% deferred, immediately upon eligibility.
  • Flexible Time Off for exempt employees and generous PTO for non-exempt employees.
  • 11 paid company holidays and a 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.
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