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Tier-1 brand, mid-level (3-6 years) requirement, metro location, and broad technical skillset increase competition.
Role requires finance-specific modeling, regulatory controls, and domain knowledge, limiting transferability across industries.
Mandatory 4+ years, finance-modeling domain expertise, and specific tech stack make shortlisting highly selective.
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Lead or participate in model maintenance and optimization initiatives impacting operating processes, controls, reporting, testing, implementation, and documentation.
Review and analyze complex data sets and quantitative models to validate model performance supporting business initiatives.
Advise team on model optimization strategies and independently resolve complex issues to meet project deliverables within compliance requirements.
4+ years of quantitative solutions engineering, model solutions, or quantitative model operations experience (including equivalent via training, military, education).
Bachelor’s degree in finance, statistics, computer science, IT, or related field with 4+ years experience.
Experience with Finance/Credit/Banking Modeling and industry-specific SDLC processes.
Technical skills in Python/R or SAS, Excel, SQL, and data visualization tools such as PowerBI, Tableau, or Qlikview.
Experienced in Finance/Banking model reengineering and platform migration projects.
Strong data engineering, automated testing framework development experience using Python (Pytest/Selenium).
Capable of collaborating effectively with global teams, business partners, and credit/finance modelling teams to deliver compliant and innovative solutions.