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Tier-1 bank, Mumbai location, and a generalist finance analyst profile drive high applicant competition.
Banking forecasting and CCAR model onboarding demand domain-specific finance skills, limiting cross-industry transferability.
Explicit 2-3 years finance experience plus mandatory modeling, SQL and regulatory forecasting experience increases filtering strictness.
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Operate and manage the RUBY forecast platform critical for Interest Rate Risk, CCAR, and internal financial forecasting processes.
Onboard new and revised financial models onto the platform ensuring accuracy and adherence to standards.
Collaborate with business and technology teams to identify, implement, and enhance platform functionality and resolve related issues.
2-3+ years of experience in financial services with focus on model development, validation, or implementation.
Proficiency in SQL and data analysis techniques; experience with Python, SAS, or Java modeling languages is a plus.
Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Finance); Master's degree preferred.
Good knowledge of banking products, financial institutions' revenue models, and macro-economic impact on the industry.
Experience working in regulatory forecast scenarios such as Interest Rate Risk and CCAR forecasting.
Technical proficiency in modeling tools and understanding of data management principles.
Ability to analyze complex financial statements and identify trends using quantitative and qualitative methods, working effectively with both technical and non-technical stakeholders.