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 is seeking an experienced Python quantitative developer. The Ideal
candidate is someone who has experience working with analysts, researchers and
other quantitative developers in commodities or other financial products. This
role requires a developer who has implemented models, frameworks and libraries
to enable other stakeholders to focus on their own work.
We are looking for an engineer who is capable of task ownership: taking a
task, splitting it into pieces, estimating the amount of work, setting
expectations, implementing, covering code with meaningful and reasonable
tests, and helping others with their development work by reviewing their code
and guiding.
What You'll Be Doing
* Build, test, deploy and maintain algorithms for pricing and risk management
* Work with Arbol’s insurance and derivatives teams to perform business-critical analytics
* Build, grow and scale Arbol’s pricing and risk management infrastructure
What You'll Need
* 7+ years of experience with general CS knowledge and tools: version control, design patterns, CI, various testing approaches, coding environment setup on different platforms, package managers
* 7+ years experience using Python
* 5+ years experience in quantitative development
* 4+ years experience using numpy, pandas
* 3+ years in finance (commodities is preferred)
* 3+ years with cloud computing (AWS is preferred)
* Basic math and probability theory knowledge
What's Great to Have
* Experience with ML/DL python frameworks like TensorFlow or PyTorch is a plus
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]](mailto:[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 20 days of PTO for you to relax and recharge.
