Description

You will build and maintain platforms for the full lifecycle of quantitative risk models, writing and deploying production code in the cloud.

This role is hybrid.

Responsibilities

• Build platforms supporting the complete lifecycle of quantitative risk models.
• Develop and maintain data pipelines and orchestration systems.
• Migrate and containerize existing models for new cloud environments.
• Write, test, and deploy production code using Python.

Required Skills

• 7+ years of hands-on software engineering experience.
• Strong proficiency in Python.
• Deep expertise with Google Cloud Platform (GCP).
• Experience with Spark and PySpark.
• Proficiency in Apache Airflow for orchestration.
• Experience with Kubernetes and OpenShift.
• Familiarity with CI/CD practices.
• Proficiency with Django.

Key Skills

Education

Any Graduate