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Senior niche fraud-modeling role reduces competition despite Bengaluru location and reputable bank.
Specialized banking fraud-modeling and regulatory MRM skills limit transferability across industries.
Explicit 12+ years, mandatory MRM and ML/SQL skills, and leadership experience make filtering strict.
Lead advanced quantitative analyses and fraud risk assessments to validate model performance and enhance fraud prevention capabilities with strong data governance.
Design, validate, implement, and monitor fraud detection models across digital and payment channels optimizing detection effectiveness and customer experience.
Oversee Model Risk Management activities including governance, performance monitoring, change management, regulatory engagement, and provide challenge to model design and assumptions while partnering with senior leadership to influence fraud strategy.
Master's degree in a quantitative field required; PhD preferred.
12+ years of experience in fraud data modeling or related quantitative fields.
Expert-level proficiency in SQL and one or more analytical programming languages such as Python, R, or SAS.
Extensive experience with Model Risk Management, including governance, validation, monitoring, and regulatory engagement.
Experienced in managing complex fraud risk analytics and developing digital fraud detection models in regulated banking environments.
Demonstrates strong leadership with prior team lead or mentoring experience and capability to independently manage and prioritize deliverables.
Skilled in engaging with senior management and regulatory bodies to present model findings and influence fraud strategy decisions.