FRAUD PREVENTION MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: Apr 01, 2025 – The Fraud Prevention Manager has experience in forensic accounting, fraud investigation, and compliance, with strong capabilities in cybercrime analysis, finance, and audit across corporate and government sectors. This position requires skills in data analysis using tools like SQL, Python, and R, along with proficiency in forensic data analytics and visualization platforms such as Tableau and QuickSight. The manager also demonstrates strong leadership, communication, and organizational skills, with expertise in handling complex investigations and collaborating effectively in global, high-paced environments.

Essential Hard and Soft Skills for a Standout Fraud Prevention Manager Resume
  • Fraud Analysis
  • Data Analysis
  • Fraud Management
  • Chargeback Handling
  • Security Design
  • Report Preparation
  • Risk Management
  • Technical Strategy
  • Process Mapping
  • Fraud Investigation
  • Team Leadership
  • Collaboration
  • Problem Solving
  • Communication Skills
  • Relationship Building
  • Customer Collaboration
  • Industry Awareness
  • Staff Training
  • Workflow Management
  • Strategic Thinking

Summary of Fraud Prevention Manager Knowledge and Qualifications on Resume

1. BA in Fraud Examination with 3 years of Experience

  • Fraud experience in daily fantasy sports, online gaming, or related industries
  • Passion for sports and/or the gaming industry.
  • Direct experience managing multi-tiered teams
  • Passionate about helping others learn and grow.
  • Proficient knowledge of online gaming fraud schemes and categories, as well as common fraud prevention strategies and systems.
  • Ability to handle multiple competing priorities in a fast-paced environment.
  • Strong written, communication, organizational, problem-solving, and analytical skills.
  • Strong understanding of the entire chargeback workflow.
  • Ability to communicate with technical and non-technical stakeholders at various levels across multiple business units.
  • Experience in collaborating with virtual or internationally distributed teams

2. BA in Finance with 5 years of Experience

  • Prior work experience working in technical and financial services environments
  • Working knowledge of financial institution fraud schemes (i.e., identity theft, elder financial exploitation, vendor fraud, etc.)
  • Ability to conduct research by leveraging multiple internal and external systems
  • Experience working with a fraud detection Behavior Analytics tool
  • Hold Certified Fraud Examiner (CFE), or equivalent professional certification
  • Prior work experience conducting financial fraud investigations, analysis of suspicious financial transactions, or banking/investment operations
  • Solid analytical and organization skills
  • Good communication skills and the ability to communicate in a clear and concise professional manner, tailored to the appropriate audience
  • Ability to lead and work collaboratively within a business unit team and have strong influencing skills.
  • Must be a self-starter and keen to explore new solutions

3. BA in Forensic Accounting with 6 years of Experience

  • Experience in forensic accounting, compliance monitorship, anti-bribery and corruption, cybercrime, fraud investigation, finance, audit, or related experience with corporations, government agencies, or law firms
  • Data analysis experience (SQL, Python, R, etc.) to perform a deep dive on large, disparate datasets, and experience in forensic data analytics
  • Experience using data visualization tools such as Tableau or QuickSight
  • Experience performing investigative review and documenting observations for stakeholders
  • Excellent interpersonal skills with the ability to communicate complex issues clearly to both internal and external customers
  • Strong leadership and analytical skills with the ability to work across geographies to meet the team’s objectives
  • Professional certification (CPA, CFE, CAMS, CIA)
  • Proficiency in forensic data analysis, data modeling, and/or data mining techniques to detect patterns of fraud
  • Experience working in a high-paced environment with a high degree of ambiguity
  • Experience collaborating with a virtual or internationally distributed team
  • Excellent organizational and prioritization skills with the ability to handle multiple tasks simultaneously
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