Quantitative Researcher
Quantitative Researcher
Posted on :
15-03-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
Arbol is a global climate risk coverage platform and FinTech company offering fullservice solutions for any business looking to analyze and mitigate exposure to climate risk. Arbols products offer parametric coverage which pays out based on objective data triggers rather than subjective assessment of loss. Arbols 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 blockchainpowered operational efficiencies and nontraditional risk capacity bringing capital from noninsurance sources. By combining all these factors Arbol brings scale transparency and efficiency to parametric coverage.
About the Team
The quant team is responsible for making sense of the terabytes of weather data Arbol has at its disposal. It forms the connective tissue between more clientfacing teams such as sales and backend roles like data engineering. Youll be joining a small team of data scientists engineers and meteorologists and will have a unique opportunity to impact many levels of the firm such as pricing and product development. This is an ideal position for someone interested in building machine learning systems for climate data while taking a deep dive into the parametric insurance industry.
About the Role
In this role you will research and implement machine learning techniques for modeling climate data. In addition to analyzing traditional variables such as temperature and precipitation you will work with alternative data sources like radar and satellite imagery to improve existing products and develop new ones. This will require exciting technical insights coupled with business understanding gained through interaction with other teams.
We are looking for someone with a quantitative background and an interest in applying that skillset toward businessdriven research problems at the intersection of climate science and machine learning.
What Youll Be Doing
- Design and implement machine learning approaches for forecasting and generative modeling
- Develop models for climate and weather perils such as heat waves severe convective storms and tropical cyclones
- Build robust training and validation pipelines for climate datasets
- Work with risk and insurance teams to perform businesscritical analytics
What Youll Need
- BA in statistics computer science mathematics or related quantitative field
- Experience programming in Python
- Experience analyzing large datasets
- Strong problem solving and analytical skills
Whats Great to Have
- Graduate degree and/or research experience in a quantitative field
- Comfort with statistics (e.g. linear regression hypothesis testing)
- Experience working with time series and/or climate data
$90000 $140000 a year
We are open to accepting candidates of various levels for this role.
Candidates for this role must be located in the United States.
Interested but you dont meet every qualification Please apply!
Arbol values the perspectives and experience of candidates with nontraditional 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
Benefits
Arbol is proud to offer its fulltime employees competitive compensation and equity in a highgrowth 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.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
