Acunor

Senior Fraud Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Fraud Analyst in St. Petersburg, FL, with a contract length of "unknown." Pay rate is "unknown." Requires 8+ years in fraud analytics, proficiency in SQL and BI tools, and experience in transactional fraud within banking.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 30, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
St. Petersburg, FL
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🧠 - Skills detailed
#BI (Business Intelligence) #Python #Statistics #Strategy #Visualization #SAS #SQL (Structured Query Language) #Automation #Leadership #Tableau #Consulting #Monitoring
Role description
Senior Fraud Analyst – St. Petersburg, FL (Onsite) About the Role We are hiring for one of our premier consulting clients. The Senior Fraud Analyst will lead fraud analytics, rule optimization, and performance reporting for large-scale transactional data environments. This role is ideal for experienced fraud analytics professionals who enjoy combining hands-on data work with stakeholder-facing insights and strategy development. Key Responsibilities β€’ Analyze fraud performance metrics, identify emerging fraud patterns, and develop data-driven recommendations. β€’ Design, test, and optimize fraud detection and prevention rules. β€’ Work with large-scale transactional data using SQL and Python for analysis and reporting. β€’ Build and automate BI dashboards using Tableau or Hyperion for fraud trend visualization and executive presentations. β€’ Collaborate with business and technology stakeholders to support fraud risk initiatives. β€’ Present analytical findings and recommendations to senior leadership. β€’ Provide coaching and guidance to junior team members as required. Required Qualifications β€’ 8+ years of experience in fraud analytics, fraud strategy, or risk analytics. β€’ Strong proficiency in SQL, Excel, and BI tools (Tableau or Hyperion). β€’ Proven experience developing or tuning fraud detection rules within transaction monitoring systems. β€’ Strong analytical, problem-solving, and stakeholder presentation skills. β€’ Bachelor’s degree in Statistics, Finance, Economics, or a related quantitative field. Desired Skills β€’ Experience with Falcon Case Manager, Falcon Expert, or Fraud Navigator (preferred but not required). β€’ Equivalent experience with Actimize, ThreatMetrix, LexisNexis, SAS Fraud Management, or Feedzai also valuable. β€’ Familiarity with statistical modeling, sampling, and automation techniques. β€’ Bilingual in Spanish preferred but not required. β€’ Master’s degree in a quantitative or business discipline. Domain Focus This position focuses on Transactional and Payment Fraud Analytics within the banking and financial services industry. Candidates with experience in enterprise-scale fraud monitoring or fraud rule management systems will be prioritized.