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 tools 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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