Arbol is a global climate risk coverage platform and FinTech company offering full-service solutions for any business looking to analyze and mitigate exposure to climate risk. Arbol’s products offer parametric coverage which pays out based on objective data triggers rather than subjective assessment of loss. Arbol’s key differentiator versus traditional InsurTech or climate analytics platforms is the complete ecosystem it has built to address climate risk. This ecosystem includes a massive climate data infrastructure, scalable product development, automated, instant pricing using an artificial intelligence underwriter, blockchain-powered operational efficiencies, and non-traditional risk capacity bringing capital from non-insurance sources. By combining all these factors, Arbol brings scale, transparency, and efficiency to parametric coverage.

Arbol's Engineering team is seeking a Quantitative Python Engineer to help build the tools that support our innovative approach to climate risk and financial services. The ideal candidate will have a strong background in Python development, particularly with data-focused libraries like NumPy and Pandas, and a background in financial services, trading, or risk management.

You’ll work on designing and implementing new features and building tools that directly support the business. We're looking for someone who can think critically, work autonomously, and communicate effectively across all of our teams. You'll collaborate with quants, traders, and product teams to deliver impactful solutions, contribute to architecture decisions, and help drive best practices across the engineering organization.

Ideal candidates will bring at least three years of professional Python experience, a solid understanding of the software development lifecycle, and a genuine enthusiasm for learning and innovation.

What You'll Be Doing

Application Development

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

Create tools and applications for traders, risk managers, and senior management

Build, test, deploy and maintain algorithms for pricing and risk management

Work with Arbol’s insurance and derivatives teams to perform business-critical analytics

Writing Quality Code & Following Best Practices

Write clean, testable, and well-documented code following industry standards

Implement and maintain automated testing suites using modern testing frameworks

Participate in code reviews and contribute to technical architecture decisions

Champion best practices in software development and design patterns

Collaboration & Innovation

Work closely with quantitative researchers, traders, and risk management teams

Collaborate with cross-functional teams to understand business requirements

Contribute to technical roadmap planning and technology selections