Description

You will lead the design, development, and optimization of the core codebase using Python.

Responsibilities

• Design, develop, and optimize the core codebase using Python and associated compute environments.
• Integrate FP&A forecasting models, analytics, and data pipelines by partnering with FP&A and data teams.
• Ensure computational performance, scalability, and reliability across FP&A workloads.
• Establish and champion engineering standards, testing practices, and performance monitoring.

Required Skills

• 10+ years in professional software engineering with significant hands-on Python development.
• Demonstrated success building or maintaining financial modeling or large-scale computational systems.
• Experience with data-driven platforms, large-scale computation, or advanced analytics.
• Experience with DevOps practices and ability to explain them to business users.
• Familiarity with Python-based compute environments such as Jupyter, VS Code, and Databricks.
• Knowledge of AWS, Azure, and Redshift.
• Bachelor's degree.

Key Skills

Education

Bachelor's degree