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Tier-1 employer, metro location, and mid-level experience increase applicant competition despite niche skills.
High finance, risk, and SDLC domain specificity limits easy cross-industry transferability.
Multiple mandatory filters: 5+ years, finance modeling, specific tools, and migration experience.
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Lead complex, large-scale model maintenance, optimization, and planning initiatives including controls, reporting, testing, implementation, and documentation.
Review and analyze multi-faceted model operations challenges requiring deep evaluation and develop short- and long-term optimization strategies.
Collaborate strategically across global teams to influence model maintenance schedules, ensuring compliance with SDLC, quality, security, and risk requirements.
Minimum 5+ years experience in quantitative model solutions or quantitative model operations.
Experience with Python, R, or SAS and strong data engineering and analysis skills, including SQL and database testing.
Experience in Finance/Credit/Banking predictive modeling and knowledge of industry-specific SDLC processes.
Work Experience Required: 5+ years quantitative modeling related experience as explicitly mentioned.
Experienced in leading model migration and reengineering projects in the finance sector, with at least 3+ years in such roles.
Strong understanding of risk, controls, validation, compliance, and governance in financial modeling operations.
Ability to operate effectively in complex organizations and collaborate with diverse global stakeholders.