Python Engineer

Arbol; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Arbol seeks a Quantitative Python Engineer to help build tools that power climate risk analytics and financial services. You’ll design features, build Python libraries, and create APIs and microservices that drive pricing and risk management.

You’ll collaborate with quants, traders, and product teams to deliver impactful solutions, write clean, well-tested code, and help shape the engineering roadmap. This role is based in New York City with a competitive salary.

Qualifications

• Ideal candidates will have at least three years of professional Python experience.
• Strong understanding of the software development lifecycle.
• Genuine enthusiasm for learning and innovation.

Responsibilities

• 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

Skills

Python

NumPy

Pandas

Tools

APIs

Microservices

Testing frameworks

Job description

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

New York City, New York. Compensation / salary range: 140,000 - 180,000 USD, yearly.