Design and execute strategies to prevent fraud by leveraging data analysis, industry knowledge, and technological tools.
Analyze patterns and trends related to fraud in the credit card portfolio to identify potential fraudulent activities.
Develop mathematical and statistical models to analyze data, interpret results, and effectively communicate findings.
Utilize data analytics tools to monitor and detect suspicious behavior.
Conduct A/B testing to evaluate the effectiveness of fraud prevention strategies and optimize decision-making.
Collaborate with risk management, technology, and other cross-functional teams.
Perform in-depth investigations into suspicious activities.
Analyze complex datasets to assess the overall performance of fraud decisioning systems.
Create and maintain reports on fraud trends, incidents, and mitigation strategies.

Master’s degree (or its foreign degree equivalent) in Computer Science, Business Analytics, or a related quantitative discipline.
One (1) year of experience in the job offered or in any occupation in related field.
Special Skill Requirements: (1) Python; (2) Tableau; (3) R (Programming language); (4) SQL; (5) MongoDB; (6) A/B testing; (7) SAS; (8) AWS; (9) Statistics; (10) Machine learning algorithms; (11) Java. Any suitable combination of education, training and/or experience is acceptable.

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Senior Risk Analyst

Key skills