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Tier-1 brand, mid-level experience, and Bangalore metro location increase applicant competition.
Banking risk analytics requires domain-specific regulatory and product knowledge, limiting cross-industry transferability.
Explicit 5+ years risk analytics requirement and regulatory domain needs make filtering stringent.
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Lead complex cross-functional business analysis and modeling initiatives impacting stress testing and portfolio risk analytics.
Manage rollout of pilot programs from models, make decisions on product strategies, risk exposure, and regulatory compliance adherence.
Lead projects and teams, mentor others, and collaborate to resolve production, project, and regulatory issues supporting risk analytics goals.
Minimum 5+ years of risk analytics experience (including equivalent education or military experience).
Expertise in Python and SQL (5+ years desired).
Experience with designing, developing, and enhancing data tools and reporting within capital risk domains.
Not explicitly mentioned: specific educational degree, location, or notice period requirements.
Experienced in leading analytics projects with broad business and regulatory impact within financial services or risk domains.
Skilled in designing scalable data frameworks, ensuring data quality across multiple platforms, and optimizing data pipelines using advanced SQL and Python.
Able to drive AI and automation initiatives, interface with data teams and stakeholders to deliver insights and process improvements aligning with strategic objectives.