Quantitative Python Engineer - Remote

Overview

The Quantitative Python Engineer will play a crucial role in building tools that support Arbol's innovative approach to climate risk and financial services, leveraging strong Python development skills and a background in financial services.

In Short

• Design and implement new features for risk management tools.
• Build and maintain Python libraries and frameworks.
• Develop APIs and microservices integrating with data providers.
• Create applications for traders and risk managers.
• Maintain algorithms for pricing and risk management.
• Write clean, testable code following industry standards.
• Participate in code reviews and technical architecture decisions.
• Collaborate with quantitative researchers and cross-functional teams.
• Contribute to technical roadmap planning.
• Champion best practices in software development.

Requirements

• 3+ years of professional Python development experience.
• Experience with NumPy, Pandas, and the Python data ecosystem.
• Strong experience building production applications.
• Understanding of software development lifecycle and agile methodologies.
• Experience with version control systems (Git).
• Expert-level Python programming skills.
• Knowledge of testing frameworks and test-driven development.
• Strong analytical and problem-solving abilities.
• Excellent communication skills.
• Self-motivated with attention to detail.

Benefits

• Opportunity to work in a cutting-edge FinTech environment.
• Collaborative team culture.
• Continuous learning and professional growth.
• Impactful projects in climate risk mitigation.
• Access to modern development tools and cloud platforms.