Homeoffice Quantitative Python Engineer chez Arbol
Arbol · New York City, États-Unis d'Amérique · Remote
- Professional
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.
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
What You'll Need
What's Great to Have
Candidates for this role must be located in the United States.
Interested, but you don’t meet every qualification? Please apply!
Arbol values the perspectives and experience of candidates with non-traditional backgrounds and we encourage you to apply even if you do not meet every requirement.
Accessibility
Arbol is committed to accessibility and inclusivity in the hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you require an accommodation to apply or interview, please contact [email protected]
Benefits
Arbol is proud to offer its full-time employees competitive compensation and equity in a high-growth startup. Our health benefits include comprehensive health, dental, and vision coverage, and an optional flexible spending account (FSA) to support your health. We offer a 401(k) match to support your future, and flexible PTO for you to relax and recharge.
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