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