Quantitative Developer

4 weeks ago


Boston MA, United States Selby Jennings Full time

Responsibilities:

  • Quantitative Development: Enhance, develop, test, and deploy production model code to support existing research platforms and strategy/portfolio applications.
  • Platform Migration: Assist in transitioning code to a new Python-based quant infrastructure, collaborating with other Technology team members to determine optimal end-to-end solutions.
  • Software Engineering: Implement industry-standard best practices for software design, lead internal code review processes, conduct code analysis, and proactively identify software risks.
  • Data Pipeline Management: Design and create efficient end-to-end data and analytical solutions using a Python stack to meet internal business requirements.
  • Database Consolidation: Aid in consolidating data sources used by the investment team onto a common shared platform, ensuring compliance with GMO's architecture best practices and coding standards.
  • Team Participation: Actively engage in GMO Python/new platform working groups and participate in agile/scrum activities.

Requirements:

  • Bachelor's degree or equivalent required; advanced degree in computer science, engineering, math, or science preferred.
  • Familiarity with statistics and experience with optimization libraries (e.g., open-source libraries like cvxpy, commercial solvers like cplex and gurobi) is advantageous.
  • Knowledge of MATLAB is beneficial but not mandatory.
  • Minimum of 3-5 years of professional experience in Python, including package development.
  • Strong grasp and application of software design principles.
  • Preferred experience with SQL queries and database development using relational databases.
  • Bonus points for familiarity with modern CI/CD DevOps practices and orchestration tools such as Azure DevOps, Airflow, Kubernetes, and Docker.
  • Strong preference for experience with GIT.
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