Fraud Analyst

Overview

On Site
Hybrid
BASED ON EXPERIENCE
Full Time
Contract - W2
Contract - Independent
Contract - 6+ mo(s)

Skills

Real-time
Data Analysis
Science
KPI
Reporting
Strategy Development
Machine Learning (ML)
Decision-making
Fraud
Dashboard
Performance Metrics
Analytics
Mathematics
Computer Science
Database
Test Methods
Conflict Resolution
Problem Solving
Communication
Collaboration
SQL
Statistics
Data Visualization
AS/400 Control Language
Common Lisp

Job Details

Title: Fraud Analyst

Location: Southeastern/Western Region (Hybrid)
Employment Type: Contract

Compensation:
Pay Range: $40.81-$58.31 Per HR

Description:
Assist in building data sets to support new fraud strategies and real-time detection rules.
Conduct data analysis to develop new fraud detection and prevention rules.
Support the development, deployment, and maintenance of fraud risk rules utilizing machine learning models.
Collaborate with colleagues to identify opportunities for leveraging models and data.
Contribute to improving the efficiency and effectiveness of decision science solutions.
Help create and maintain reusable data pipelines focused on feature creation.
Assist in developing data environments and datasets for KPI reporting.

Key Responsibilities:
Build and maintain data sets for fraud strategy development.
Analyze data to identify and implement new fraud detection rules.
Develop and maintain fraud risk rules using machine learning models.
Collaborate with various teams to optimize the use of data and models.
Enhance data and rules infrastructure for better decision-making.
Create reusable data pipelines for feature creation.
Design datasets for analyzing fraud detection rule performance.
Monitor data pipelines to detect and resolve issues proactively.
Develop dashboards to monitor key performance metrics.

Qualifications:
2 years of analytics experience.
BS/MS in a quantitative discipline such as Math, Statistics, or Computer Science.
1 year of experience with database query languages.
1 year of experience with statistical analysis.
1 year of experience with testing methodologies or data visualization tools.
Strong problem-solving, communication, and collaboration skills.
Ability to thrive in a fast-paced, dynamic environment.
Core Technologies
SQL | Statistical Analysis Tools | Data Visualization Tools

Contact Information:
Christopher Lopez,

Benefits:
Learn more about our benefits offerings here

EEO Statement:
Learn more about our EEO policy here

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