Description

You will develop and maintain risk modeling and financial analytics applications using Python and PySpark.

This role is on-site.

Responsibilities

• Design and implement efficient algorithms for complex financial and risk-related problems.
• Develop, enhance, and validate financial risk models and analytical solutions.
• Work with large datasets using PySpark and SQL to perform data analysis, transformation, and validation.
• Collaborate with risk, quantitative, data, and technology teams to support model development and testing.
• Troubleshoot performance and data quality issues in risk analytics applications.

Required Skills

• 8+ years of software development experience.
• Strong hands-on proficiency with Python.
• Strong proficiency in PySpark.
• Strong SQL skills.
• Experience with Financial Risk Modeling or Risk Analytics.
• Strong algorithm and problem-solving skills.
• Background in Financial Services or Banking domain.
• Experience working with large datasets and data processing frameworks.

Key Skills

Education

Any Graduate