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Tier-1 bank, metro location, mid-level generalist analytics role and broad skills make applicant competition high.
Strong banking risk and regulatory experience requirements reduce transferability across industries.
Explicit 5+ years, required domain/regulatory experience, and mandatory technical skills make filters highly strict.
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Lead complex business analysis and modeling initiatives impacting risk analytics, including data aggregation, stress testing, and portfolio analysis.
Manage rollout of pilot programs from programmed models for supported businesses and product lines, making key decisions on product strategies, risk exposure, and regulatory compliance.
Drive data strategy and governance, lead cross-functional projects and teams, mentor others, and provide thought leadership on data standards, automation, and AI opportunities.
5+ years of Risk Analytics or related experience through work, training, or education.
Bachelor's degree in Analytics, Data Management, Engineering, Computer Science, Finance, or related field.
Proficiency in SQL, Power BI, and data analytics tools required; familiarity with AI/GenAI and automation preferred.
Experience working within banking, risk management, or highly regulated environments.
Experienced in leading data governance, quality, lineage, and metadata management initiatives within enterprise risk frameworks.
Strong ability to manage cross-functional stakeholder engagement, drive strategic change, and deliver enterprise data solutions under regulatory scrutiny.
Skilled in leveraging AI/GenAI technologies, data automation, and responsible AI principles in risk analytics and reporting projects.