Quantitative Python Engineer

Arbol
New York City, NY
Category Finance
Remote
Job Description
Arbol is seeking a Quantitative Python Engineer to build tools for their climate risk and FinTech platform. The role involves designing, implementing, and maintaining Python libraries and APIs to support pricing, risk management, and trading operations. The ideal candidate will have a strong background in data-focused libraries and a working knowledge of financial services and Python coding.

Requirements

  • Design and implement new features for Arbol's risk management tools and trading platforms.
  • Build and maintain Python libraries and frameworks used across the organization.
  • Develop APIs and microservices that integrate with external data providers and internal systems.
  • Write clean, testable, and well-documented code following industry standards.
  • Implement and maintain automated testing suites using modern testing frameworks.
  • Collaborate with quantitative researchers, traders, and risk management teams.

Benefits

  • Health benefits
  • Dental coverage
  • Vision coverage
  • 401k match
  • Flexible spending account (FSA)
]]>