Senior Fraud Strategy Analyst

New
Remote flexibility within the continental United StatesFull-TimeSenior
Salary114,080 - 218,030 USD per year
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Job Details

Experience
6+ years
Required Skills
PythonSQLMachine LearningMicrosoft Power BITableauData visualization

Requirements

  • Bachelor’s degree required or equivalent combination of education and relevant professional experience.
  • 6+ years of experience in financial crimes, fraud analytics, fraud strategy, or related financial services roles.
  • Strong expertise in fraud rules management, fraud mitigation strategies, and financial crimes analytics.
  • Advanced proficiency in SQL, SAS, data visualization tools, and analytical software for complex data analysis.
  • Experience using Python and AI/ML methodologies for exploratory analytics and fraud detection initiatives.
  • Knowledge of banking regulations related to payments and money movement, including Reg E, Reg CC, FACTA, UDAAP, and Reg Z.
  • Strong communication and presentation skills with the ability to explain complex analytical findings to both technical and non-technical audiences.
  • Experience working with identity proofing, authentication systems, or customer-facing fraud prevention tools is highly preferred.
  • Proven ability to operate effectively in complex, matrixed environments while influencing cross-functional stakeholders.

Responsibilities

  • Drive the development and optimization of fraud strategies, policies, and analytical frameworks to mitigate financial crime risks and fraud exposure.
  • Perform advanced analytics on large and complex datasets using predictive modeling, anomaly detection, pattern recognition, and machine learning techniques.
  • Develop and maintain fraud rules management strategies to improve fraud detection, authentication processes, and customer protection measures.
  • Utilize SQL, SAS, Python, Power BI, Tableau, and related tools to extract insights, build visualizations, and support strategic recommendations.
  • Collaborate with business leaders, technology teams, and stakeholders to gather requirements, influence fraud prevention initiatives, and implement scalable solutions.
  • Participate in industry collaboration efforts to stay informed on evolving fraud trends, regulatory expectations, and emerging threats.
  • Support risk management and compliance initiatives by ensuring fraud-related business activities align with regulatory and organizational standards.
  • Mentor and support peers by sharing technical expertise, fraud knowledge, and analytical best practices across teams.
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114,080 - 218,030 USD per year
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