Wholesale Credit Portfolio Analytics - Analyst
On-site · Mumbai, Maharashtra, India
Job Summary
Support development and enhancement of risk grading frameworks, contributing to methodology design, data preparation, implementation, and validation under guidance; build and maintain Python-based pipelines for managing large credit datasets, running back tests, and producing portfolio-level analytics that stress test model assumptions; conduct analyses on portfolio segments to identify concentration risks, migration trends, and grading inconsistencies; assist in applying LLMs to synthesize unstructured data into structured datasets for model development; translate analytical findings into narratives for senior committees and regulators, contributing to decks, memos, and committee materials; collaborate with Technology, Model Risk, and Controls teams to support tools and workflows that operationalize new grading methodologies.
Required Qualifications
- Bachelor's degree in Finance, Economics, Mathematics, Statistics, or a related discipline
- Up to 2 years of relevant experience in financial analytics, credit risk, or a related quantitative field (internship experience considered)
- Proficiency in Python with experience manipulating datasets (pandas, SQL, NumPy) and building reproducible analytical workflows
- Foundational understanding of quantitative modeling concepts such as back testing, sensitivity analysis, and scenario modeling
- Strong written and verbal communication skills with the ability to present analytical work clearly
- Familiarity with or willingness to learn core credit risk concepts such as PD and LGD
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