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Tier-1 employer, mid-level analytics role with common SQL/Python skills and likely metro location increases competition.
Banking risk analytics requires regulatory and domain knowledge, limiting easy cross-industry transferability.
Explicit 4+ years and domain experience required, though tech skills are listed as desired not mandatory.
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Lead or participate in moderately complex Risk Analytics initiatives including data analysis, forecasting, reporting, and programming models.
Own process production, data reconciliation, and model documentation aligned with governance policies; resolve data and modeling issues to meet deliverables.
Lead projects and teams, mentor junior staff, and collaborate cross-functionally to develop common modeling strategies and achieve analytic goals.
Minimum 4+ years of Risk Analytics experience (or equivalent through training, military experience, education).
Experience in data analysis involving forecasting, reporting, and programming models (implied).
Work on risk reporting policies, modeling strategies, regulatory compliance, and risk governance processes.
Notice period: Not explicitly mentioned in the JD.
Experienced professional comfortable leading teams on moderately complex analytic and modeling projects within Risk Analytics.
Strong collaborator working with management, compliance, technology, and cross-enterprise risk analysts to solve modeling and production issues.
Skilled in managing end-to-end analytics processes while ensuring alignment with governance and regulatory requirements.