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Tier-1 bank plus popular mid-level data role, metro location and broad skillset amplify competition.
Core data wrangling skills transferable, but credit risk domain knowledge increases industry specificity.
Mandatory SQL and Python plus modelling knowledge but no explicit years makes filters moderately strict.
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Own data sourcing, verification, and wrangling for credit risk model projects using SQL, Python, and SAS to enable efficient analysis and data consumption.
Collaborate with modelling and technology stakeholders to develop prototypes and implement new data initiatives and support data infrastructure enhancement.
Act as a Subject Matter Expert in the end-to-end data lifecycle within assigned credit portfolio management areas, such as Retail IRB model development and monitoring.
Proficiency in SQL and Python is mandatory; SAS proficiency is strongly desirable.
Bachelor's or Master's degree in related subjects.
Work Experience Required: Not explicitly mentioned in the JD.
Role is fixed term for 12 months and based in Chennai, India with office-based working.
Experienced in data manipulation and wrangling for credit risk or financial modelling environments using Python, SQL, and preferably SAS.
Able to independently manage multi-stakeholder projects with a focus on data sourcing, architecture understanding, and process improvement including automation.
Knowledgeable or willing to develop expertise in credit risk parameter models, data engineering concepts, and data quality/risk management in a banking context.