Sr. Python Developer

Role Summary & Role Description

• Implement financial models in Python according to specifications provided by modelers and business users, and suggest best practices for high performance and automated execution
• Automate advanced data aggregation methodologies for stand-alone execution in controlled environments
• Implement on-the-fly and static data enrichment logic; implement heuristics to regularly monitor wide variances in critical data
• Establish processes and procedures for managing and accessing large databases, and for optimizing repetitive or computationally intensive tasks
• Write technical documentation, present and defend results to independent Model Validation team, senior management, and regulators
• Expert understanding of Python Core concepts, including both functional and class-based design.
• Demonstrable experience with a range of common Python packages including NumPy, Pandas, matplotlib, SAlib, Scikit-learn, with proficiency in at least one Python web framework (e.g. Django, Flask, Pyramid) desired
• Experience in writing effective and scalable Python codes independently
• A deep understanding and multi-process architecture and the threading limitations of Python
• Independently address and resolve production issues and perform root cause analysis
• Experience working with large and complex data sets and coding solutions to address requirements of financial institutions, with a working knowledge of banking regulations preferred

Core/Must have skills

Expert understanding of Python Core concepts, including both functional and class-based design

Experience in writing effective and scalable Python codes independently

A deep understanding and multi-process architecture and the threading limitations of Python

Implement financial models in Python according to specifications provided by modelers and business users, and suggest best practices for high performance and automated execution

Automate advanced data aggregation methodologies for stand-alone execution in controlled environments

Good to have skills

Demonstrable experience with a range of common Python packages including NumPy, Pandas, matplotlib, SAlib, Scikit-learn, with proficiency in at least one Python web framework (e.g. Django, Flask, Pyramid) desired

Establish processes and procedures for managing and accessing large databases, and for optimizing repetitive or computationally intensive tasks

Write technical documentation, present and defend results to independent Model Validation team, senior management, and regulators

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