Description

You will build and maintain data processing and ETL pipelines for financial services applications.

Responsibilities

• Develop scalable data pipelines, focusing on ETL processes for transaction data.
• Implement feature engineering and data cleansing routines for machine learning inputs.
• Support and maintain ML models used in credit risk and fraud detection systems.
• Integrate services using APIs and microservices architecture.

Required Skills

• 5+ years of professional experience in banking or financial services.
• Expert proficiency in Python, including Pandas and NumPy.
• Strong command of SQL and relational database management.
• Experience implementing CI/CD practices.
• Familiarity with data validation frameworks and transaction data structures.
• Knowledge of regulatory compliance standards (e.g., GDPR, PCI-DSS, Basel III).
• Experience developing or supporting ML models.
• Proficiency with version control using Git.

Preferred Skills

• Experience with MLOps workflows.
• Familiarity with data visualization tools like Tableau or Power BI.
• Understanding of Agile methodologies and software design principles.

Key Skills

Education

Any Gradute