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 seeks a Junior Quantitative Developer! This role involves working within Arbol's risk team and helping to build tools for risk pricing and related infrastructure. This is a great opportunity for someone with some python experience looking to expand their fintech and ML toolkit.

This role requires some knowledge of math and probability theory, but is heavily focused on Python. Thus, a Computer Science degree is preferred. You will be helping with implementation of different components in the risk and pricing frameworks, as well as related libraries.

If

you want to dive deeper into python,

you want to learn more advanced techniques,

you have a strong vision about how you want to code and grow professionally,

you like to find exact reasons and learn from mistakes,

you want to know more in python and risk,

you want to become a better developer while staying in a math and finance-focused field

then this role is a perfect fit for you.