Quantitative Developer

3 weeks ago


Boston, United States KORE1 Full time

Client Offers generous base + sizeable bonus + 100% paid medical


MUST BE ABLE TO WORK ON SITE 2 DAYS A WEEK IN BOSTON

Client WILL pay for relocation for candidates from out of state

Client WILL do H1B/visa transfer

Client is NOT looking for Quant Researchers and will not turn into a research role down the line


Responsibilities:

  • Quantitative Development: Enhance, develop, test, and deploy production model code to support existing research platforms and strategy/portfolio applications.
  • Platform Migration: Collaborate with other Technology team members to migrate code to a new Python-based quant infrastructure, proposing modern architectures for the best end-to-end solution.
  • Software Engineering: Lead internal code review processes, adhere to industry standard best practices for software design, conduct code analysis, and proactively identify software risks.
  • Data Pipeline Management: Design and implement efficient end-to-end data and analytical solutions using a Python stack to support internal business requirements.
  • Database Consolidation: Assist in consolidating data sources used by the investment team onto a common shared platform, ensuring adherence to architecture best practices and coding standards.
  • Team Participation: Actively engage in Python/new platform working groups and agile/scrum activities.

Requirements:

  • Bachelor’s degree or equivalent - CFA is a plus
  • 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 beneficial.
  • Experience with Matlab is advantageous but not required.
  • 2-7 years of professional experience in Python, including package development.
  • Strong understanding and application of software design principles.
  • Preferred experience with SQL queries and database development using relational databases.
  • Bonus experience with modern CI/CD DevOps and orchestration tools such as Azure DevOps, Airflow, Kubernetes, and Docker.
  • Strong preference for experience with GIT.



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