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

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

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

/n
Implement data quality checks covering accuracy, completeness, and consistency

/n
Perform data reconciliation and support data migration validation activities

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





/n
Collaborate with stakeholders to understand business requirements and data flows

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

/n
Partner with data engineering and risk teams to improve data processing efficiency

/n /n Required Skills /n /n
Robust hands-on experience in Python and PySpark

/n
Experience in building and optimizing data pipelines in distributed settings

/n
Solid understanding of data transformation, validation, and big data processing

/n
Exposure to data quality frameworks and governance practices

/n /n Domain Requirements (Uniform Across JDs) /n /n
Solid understanding of Credit Risk fundamentals

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

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

/n

📌 Credit Risk Data Analyst Bengaluru
🏢 Etenico Technologies
📍 Bengaluru