Fraud Analytics Lead
About The Position
At Early Warning, the Fraud Analytics Lead executes processes to identify fraud methodologies, points of compromise, root causes, observed volumes, financial and operational impacts, and recommended remediation paths. The role develops fact-based insights to inform and influence change across the organization and participating financial institutions. It also manages an ongoing compromised-credential discipline to source, link, and control risk from exposed data. The position supports the company’s commitment to protect the integrity and confidentiality of its systems and data. It is based in a hybrid work model, with normal office working conditions. Candidates must independently be eligible to work in the United States for any employer at the date of hire; employment visa sponsorship is unavailable. 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 SAS, SQL, R, Python, or comparable analytic coding experience.
- Proven ability to convert concepts into analysis and cases for change.
- Exceptional written and verbal communication skills.
- Experience with digital banking, payments, and/or payment networks.
- Background and drug screen.
- Must be eligible to work in the United States for any employer at the date of hire; visa sponsorship is not available.
- Ability to perform the essential functions and physical requirements, with or without reasonable accommodation.
- Physical requirements include extensive computer use and sitting for periods of approximately four hours; occasional standing, walking, kneeling, and reaching; occasional lifting of 10 pounds and/or frequent application of negligible force; and visual acuity and dexterity to handle documents and office equipment.
Nice To Haves
- Postgraduate degree in math, 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.
- Develop fraud analyses to source information, analyze it, and determine root causes consistently and accurately across the network.
- Communicate and influence recommended actions within the organization and at participating financial institutions, using insights derived from advanced analytics.
- Identify exposed network credentials, social tokens, and payment information; categorize their risk and apply appropriate treatments.
- Support the company’s commitment to protect the integrity and confidentiality of systems and data.
- Perform other related duties as assigned by the supervisor.
Benefits
- Competitive medical plans (PPO/HDHP), dental insurance, 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 or 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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What This Job Offers
Job Type
Full-time
Career Level
Senior
