Job description

FutureProof Technologies is a venture-backed financial analytics startup that aims to transform finance by translating climate risk into financial risk. Working with leading climate scientists, economists, and finance experts at Stanford and UC San Diego, we are developing trailblazing climate risk analytics that are seamlessly integrated with financial valuation tools and resiliency planning.

We are seeking a highly skilled research scientist who will play a central role in performing economic/econometric/statistical analysis to assess the impact of climate change on finance and insurance. You will contribute to a team that is analyzing the relationship between climate variables and financial outcomes. The position will be full-time and will last for a period of at least one year.

Qualifications

• Strong skill in coding for statistical applications
• Strong knowledge of statistics and/or econometrics
• Fluency in coding in one or more of: R, Python, ArcGIS, and/or Stata
• Experience working with real-world data (e.g. working on data extraction, cleaning, analysis, and presentation)
• A bachelor's or master's degree in economics, applied mathematics, statistics, computer science, software engineering, systems engineering, physics, or a related field

Founding Team

Alisa Valderrama, J.D., LL.M., Co-Founder and CEO: Former Director of Water Infrastructure Finance at the National Resources Defense Council

Mark Allen, Ph.D., Co-Founder: Former Director of Business Analytics at Chegg (NYSE: CHGG)

Alex Gelber, Ph.D., Co-Founder: Economics Professor at UC San Diego; Former Acting Chief Economist of the U.S. Treasury Department

Ashby Monk, Ph.D., Co-Founder: Executive Director, Stanford Global Projects Center; serial entrepreneur

Application

To apply, please send your resume or CV, as well as a coding sample, to info@futureproof.am by January 31, 2020. We are considering potential hires on a rolling basis and encourage applicants to apply as soon as possible