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Strong Tier-1 brand, metro location, mid-level generalist analytics role with common SQL/Python skills increases competition.
Role requires risk and regulatory analytics experience, reducing transferability across non-financial industries.
Mandatory 4+ years in Risk Analytics and regulated banking experience make filters stringent.
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Lead or contribute to moderately complex risk analytics initiatives, delivering insights and decision strategies aligned with risk reporting and compliance.
Responsible for process production, data reconciliation, and maintaining model documentation under governance policies.
Manage and mentor teams while collaborating across functions to resolve data, modeling, and production issues for risk analytics deliverables.
4+ years of experience in Risk Analytics or equivalent through work experience, training, military experience, or education.
Experience in data aggregation, forecasting, reporting, and programming models related to risk analytics.
Not explicitly mentioned: mandatory degree, location, or notice period.
Not explicitly mentioned: explicit onsite or regulatory constraints.
Experienced in leading or participating in moderately complex risk analytics projects with strong understanding of risk reporting policies and modeling strategies.
Capable of collaborating across business, compliance, and technology teams to address issues and deliver analytic goals.
Familiarity with SQL, Python, and basic capital markets concepts is preferred but not mandatory.