Senior Fraud Data Analyst

Overview

Remote
On Site
$40 - $60 hourly
Contract - W2
Contract - Temp

Skills

Root cause analysis
Data Analysis
Risk assessment
Financial services
Health insurance
Fraud
Data
Metrics
Reporting
Management
Leadership
Strategy
Governance
Documentation
Adaptability
Analytical skill
Microsoft Excel
Microsoft Visio
Microsoft Outlook
Banking
Health care
Finance
FSA

Job Details

RESPONSIBILITIES:
Kforce has a client in Draper, UT that is seeking a Senior Fraud Data Analyst.

Summary:
The Senior Fraud Data Analyst uses a combination of experience and data analysis to: 1) identify and mitigate fraudulent account activity, 2) discover patterns and anomalies in member behavior, and 3) develop metrics around transactional and operational data to report on fraud attempts, losses and trends. The Senior Fraud Data Analyst will stay abreast of new fraud risk trends and support new rule creation to address shifts in fraud trends to protect the organization while maintaining a positive member experience. This role interacts with direct leadership and other teams across the organization to report on and recommend new fraud prevention strategies.

Responsibilities:
* Leads the periodic review of rule performance to identify opportunities for improvement
* Leads Fraud incidents and report findings to management
* Proactively find new ways to identify vulnerabilities and extend fraud monitoring capabilities
* Participates in fraud risk assessment across the organization to highlight fraud risk and develop strategy for mitigation
* Participates in development of fraud governance
* Participates in root cause analysis efforts to identify new fraud risks and recommend solutions
* Participates in solutioning for enterprise fraud risks
* Assists management with development of metrics which detail fraud losses, threats, trends, etc.
* Maintain proper documentation of fraud prevention rules, strategies and metrics as dictated by the organization's fraud governance

REQUIREMENTS:
* Bachelor's degree or equivalent experience
* CFE preferred
* 5+ years of experience in a data analyst type role
* 5+ years of experience in a fraud-related function
* Highly adaptable, with the ability to rapidly assimilate new information, identify fraud, risk, and process implications
* Strong quantitative analytical abilities
* Proficient in Excel
* Strong PC skills including MS PowerPoint, Project, Word, Visio and Outlook
* Understanding of financial services, banking, and/or payment related processes, regulations, and systems
* Comfortable working in an ambiguous, changing environment
* Understanding of healthcare financial accounts (HSA, HRA, and FSA) and healthcare insurance is highly desirable

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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