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Tier-1 bank, metro location and mid-level generalist fraud/risk role increases competition.
Fraud strategy requires banking risk and fraud domain knowledge, limiting cross-industry transferability.
Explicit degree-dependent years plus domain-specific fraud and analytics skills required.
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Design and validate fraud strategies, capabilities, and processes by collaborating with Product, Technology, and Operations teams.
Monitor fraud trends and customer friction points to optimize fraud detection and mitigation balancing financial performance and customer experience.
Leverage data analysis and advanced analytics, including AI and machine learning, to develop and implement innovative fraud solutions.
MS degree with 2+ years or BS degree with 4+ years of experience in risk management or data analytics; relevant fraud experience preferred.
Strong analytical skills including experience with AI and machine learning for solution development.
Proven collaboration skills with internal and external partners.
Strong communication skills to engage senior leaders and key stakeholders.
Strategic thinker able to create and execute vision for fraud strategy balancing short-term and long-term goals.
Experienced in managing cross-functional projects and processes with emphasis on capability development.
Comfortable working in a data-driven environment with focus on operational efficiency and risk mitigation in financial services.