Payments and Fraud Analyst

Jobtailor; Missouri; On-site; USD 85,000 - 125,000; Full time

Job summary

Jobtailor in Missouri is seeking a Payments and Fraud Analytics professional to monitor performance, analyze transactions, and identify anomalies across clients and markets. You will leverage BI tools, Excel, and AI methods to drive insights and inform leadership on risk and optimization opportunities.

Success requires strong analytical skills, data validation, and the ability to communicate findings clearly.

Qualifications

• Bachelor’s degree or equivalent professional experience in a related field.
• 3+ years of experience in payments, fintech, gaming, e-commerce, or fraud/risk analytics.
• Proficiency with Excel including pivot tables and lookups.
• Experience with BI platforms like Power BI/Tableau/Looker.
• Strong analytical, problem-solving, and investigative skills.
• Ability to identify data-quality issues and reconcile information across sources.
• Excellent written and verbal communication skills.
• Ability to prioritize tasks in a high-volume environment.
• Interest in AI methods for data analysis and fraud detection.

Responsibilities

• Monitor key payment and risk metrics, including approval rates and fraud alerts.
• Analyze performance across clients, markets, payment methods, and risk indicators.
• Identify and investigate unusual trends and processing anomalies.
• Use AI tools and machine learning to improve fraud detection and risk analysis.
• Provide findings and recommendations to Payments leadership and collaborators.
• Generate payment and fraud performance reports for iLottery and iGaming.
• Ensure data accuracy across internal systems and BI tools.
• Develop and maintain reporting standards, controls, and validation procedures.
• Identify opportunities for payment and fraud optimization and cost savings.
• Investigate payment incidents and fraud events with internal teams and service providers.
• Document root causes, corrective actions, and ongoing monitoring requirements.
• Support payment and fraud preparedness for new clients, markets, and providers.

Skills

Payments Analytics

Fraud Detection Techniques

Data Analysis

Data Validation

Root Cause Analysis

Performance Reporting

Transaction Processing

Risk Metrics Monitoring

Data Quality Identification

Cost Optimization

AI Tools

Education

Bachelor’s degree in Finance, Business, Analytics, Economics, Information Systems, or related field

Tools

Microsoft Excel

Power BI

Tableau

Looker

AI Tools

Job description

• Monitor key payment and risk metrics, including approval rates, transaction volumes, and fraud alerts
• Analyze performance across clients, markets, payment methods, and risk indicators
• Identify and investigate unusual trends, processing anomalies, and emerging threats
• Use AI tools and machine learning techniques to improve fraud detection and risk analysis
• Provide findings and recommendations to Payments leadership and collaborators
• Generate payment and fraud performance reports for iLottery and iGaming
• Ensure data accuracy across internal systems and business intelligence tools
• Develop and maintain reporting standards, controls, and validation procedures
• Identify opportunities for payment and fraud optimization and cost savings
• Investigate payment incidents and fraud events with internal teams and service providers
• Document root causes, corrective actions, and ongoing monitoring requirements
• Support payment and fraud preparedness for new clients, markets, and providers

Requirements

• Bachelor’s degree in Finance, Business, Analytics, Economics, Information Systems, or a related field, or equivalent professional experience
• 3+ years of experience in payments, financial services, fintech, gaming, e-commerce, transaction processing, or fraud/risk analytics
• Proficiency with Microsoft Excel, including pivot tables, lookups, and data validation
• Experience working with business intelligence platforms like Power BI, Tableau, or Looker
• Strong analytical, problem-solving, and investigative skills
• Ability to identify data-quality issues and reconcile information across multiple sources
• Excellent written and verbal communication skills
• Ability to prioritize tasks effectively in a high-volume, fast-paced environment
• Interest in or experience with AI methods and approaches for data analysis and fraud detection
• Experience working directly with payment processors, acquiring banks, gateways, or ACH providers preferred

Core Competencies

Demonstrates expertise in payments and fraud analytics, utilizing AI tools and machine learning techniques to enhance risk detection and reporting. Proficient in data analysis, performance monitoring, and communication of findings to leadership and stakeholders.

Highest-signal resume keywords

• Payments Analytics
• Fraud Detection Techniques
• Business Intelligence Platforms
• Data Analysis
• Microsoft Excel Proficiency

Hard Skills

• Payments Analytics
• Fraud Detection Techniques
• Data Analysis
• Data Validation
• Root Cause Analysis
• Performance Reporting
• Transaction Processing
• Risk Metrics Monitoring
• Data Quality Identification
• Cost Optimization

Soft Skills

• Analytical Skills
• Problem-Solving Skills
• Investigative Skills
• Communication Skills
• Task Prioritization

Industry Keywords

• Financial Services
• Fintech
• Gaming
• E-Commerce
• Transaction Processing
• Fraud Analytics
• Risk Analysis
• Payment Processors
• Acquiring Banks
• ACH Providers

Tools & Technologies

• Microsoft Excel
• Power BI
• Tableau
• Looker
• AI Tools