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Tier-1 employer, mid-level analytics role, metro location, and generalist SQL/Python skills increase candidate competition.
Role's banking risk, regulatory, and portfolio modeling focus reduces cross-industry transferability.
Explicit 5+ years risk analytics requirement and regulatory compliance expectations make screening stringent.
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Lead complex business analysis and modeling initiatives impacting stress testing and portfolio risk analytics.
Review and analyze complex programming models and manage pilot program rollout for supported business units.
Make decisions on product strategies, data modeling, and risk exposure aligned with compliance and regulatory requirements; lead teams and mentor colleagues.
5+ years of Risk Analytics experience (via work experience, training, military experience, or education).
Experience with data aggregation, statistical and financial modeling, and regulatory compliance in risk management.
Not explicitly mentioned in the JD: mandatory degree, onsite/location requirement, or notice period.
Technical skills: SQL and Python with basic understanding of capital markets preferred but not mandatory.
Experienced in managing cross-functional risk analytics projects with regulatory and compliance interface.
Skilled in analyzing and interpreting complex data models to guide business and risk decisions.
Capable of leading teams and mentoring in a risk analytics environment within financial services.