Credit Risk Data Analyst –SQL, Python & PySpark /n Experience: 3–7 Years /n Location: Bangalore /n Notice - Immediate to 15 Days /n Role Summary /n Seeking a Credit Risk Data Analyst with strong hands-on expertise in Python and PySpark to support large-scale data processing, validation, and analytics across credit risk datasets. The role focuses on leveraging distributed data frameworks to ensure data accuracy, scalability, and efficient processing within modern data platforms. /n Key Responsibilities /n /n

- Perform large-scale data processing, transformation, and validation using Python and PySpark

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- Build and optimize data pipelines for ingestion, processing, and analysis of credit risk datasets

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- Conduct exploratory data analysis (EDA), anomaly detection, and trend identification

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- Implement data quality checks covering accuracy, completeness, and consistency

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- Perform data reconciliation and support data migration validation activities

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- Work with distributed data environments (e.g., big data platforms) to handle high-volume datasets





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- Collaborate with stakeholders to understand business requirements and data flows

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- Assist in preparing and validating datasets used in PD, LGD, and EAD models

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- Partner with data engineering and risk teams to improve data processing efficiency

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- Robust hands-on experience in Python and PySpark

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- Experience in building and optimizing data pipelines in distributed environments

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- Solid understanding of data transformation, validation, and big data processing

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- Exposure to data quality frameworks and governance practices

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- Strong understanding of Credit Risk fundamentals

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- Exposure to PD (Probability of Default), LGD (Loss Given Default), and EAD (Exposure at Default) models

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- Knowledge of retail banking portfolios such as loans, cards, and mortgages

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📌 Credit Risk Data Analyst (Bengaluru)
🏢 Etenico Technologies
📍 Bengaluru