Python Quantitative Developer - Treasury
We are assembling a strong Quant team to build our next generation of in-house analytics for margin, capital, and liquidity. This team will develop and maintain the in-house models and Python library, providing tool and analytics for Treasury, portfolio managers and senior management.
Responsibilities Lead the design of the analytical library and define public interfaces in coordination with other teams. Work closely with Quant researchers to provide necessary tooling for model development and testing. Define data model and assist with ETL pipelines and relevant health checks
Requirements Must-have qualifications/skills: Minimum 6+ years of experience developing systems in Python or other OOP background with Python knowledge. B.A. in computer science or another quantitative field. Experience with modern Python data stack (e.g. pydantic, polars, airflow) Experience working with Git / GitHub Good understanding of various Design Patterns, Algorithms & Data structures Ability to communicate effectively with senior stakeholders across the organization Able to work independently in a fast-paced environment. Detail oriented, organized, demonstrating thoroughness and strong ownership of work.
Nice-to-have qualifications/skills: Knowledge of AWS / MWAA and related DevOps experience Experience with Continuous Integration and Deployment (CI/CD) Experience with financial mathematics and statistics. Experience in the financial industry Experience with Docker/Kubernetes Experience with NoSQL like MongoDB
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Responsibilities Lead the design of the analytical library and define public interfaces in coordination with other teams. Work closely with Quant researchers to provide necessary tooling for model development and testing. Define data model and assist with ETL pipelines and relevant health checks
Requirements Must-have qualifications/skills: Minimum 6+ years of experience developing systems in Python or other OOP background with Python knowledge. B.A. in computer science or another quantitative field. Experience with modern Python data stack (e.g. pydantic, polars, airflow) Experience working with Git / GitHub Good understanding of various Design Patterns, Algorithms & Data structures Ability to communicate effectively with senior stakeholders across the organization Able to work independently in a fast-paced environment. Detail oriented, organized, demonstrating thoroughness and strong ownership of work.
Nice-to-have qualifications/skills: Knowledge of AWS / MWAA and related DevOps experience Experience with Continuous Integration and Deployment (CI/CD) Experience with financial mathematics and statistics. Experience in the financial industry Experience with Docker/Kubernetes Experience with NoSQL like MongoDB
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