Lead Risk Analytics Consultant( Gen AI)

Lead complex risk analytics initiatives involving business analysis, modeling, data aggregation, monitoring, and reporting for stress testing and portfolio analysis.

Manage rollout of pilot programs based on modeling outputs and make decisions on product strategies, data models, and risk exposure complying with regulatory and policy requirements.

Lead and mentor teams, manage stakeholder collaboration, and drive data governance, quality, and control activities across enterprise risk analytics functions.

Minimum 5 years of risk analytics experience or equivalent demonstrated through work experience, training, military experience, or education.

Bachelor's degree in Analytics, Data Management, Engineering, Computer Science, Finance, or related field.

Proficiency in SQL and data analytics tools; experience in risk, data governance, and regulatory environments.

Work Experience Required: Minimum 5 years in risk analytics or equivalent.

Experienced in leading cross-functional risk analytics and data governance initiatives within banking or highly regulated environments.

Strong expertise in data quality, metadata management, lineage, and control frameworks combined with proficiency in SQL, Power BI, Python, and data visualization tools.

Capable of strategic change leadership, operational excellence, and stakeholder management including executive communication; familiar with AI/GenAI and automation in risk contexts.