Data Analyst

Role : Data Analyst (PySpark + Credit Risk + Python + SQL)

Experience: 4 to 8 years

Locations: Pune, Bangalore, Kolkata, Gurgaon

About the Role:

We are looking for a skilled Data Analyst with expertise in PySpark, Credit Risk, Python, and SQL. The ideal candidate will have experience working with large financial datasets, risk modeling, and data transformation for credit risk analysis.

Key Responsibilities:

• Develop and maintain data pipelines using PySpark for credit risk analysis.

• Extract, transform, and analyze large financial datasets using SQL and Python.

• Support credit risk modeling by preparing and processing data efficiently.

• Work closely with risk teams to identify trends, anomalies, and insights from financial data.

• Optimize data workflows for improved performance and scalability.

• Ensure data quality, consistency, and compliance with regulatory requirements.

Required Skills & Qualifications:

• 4 to 8 years of experience in data analytics or risk-related roles.

• Strong hands-on expertise in PySpark for data processing and analysis.

• Proficiency in SQL for querying and manipulating large datasets.

• Experience in Python for data analysis, automation, and scripting.

• Solid understanding of credit risk concepts and risk analytics.

• Experience working with banking, financial services, or credit risk teams is preferred.

• Strong problem-solving skills and the ability to work with cross-functional teams.

Preferred Qualifications:

• Experience with big data platforms (Hadoop, Databricks, Spark).

• Knowledge of risk regulatory frameworks (Basel, IFRS9) is a plus.

• Exposure to cloud-based data environments (AWS, Azure, GCP).