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Quantitative Economic Modeler - Contractor

JupiterintelAll - San Mateo🇺🇸United States

Quick overview

Salary$50 - $60/hr
SeniorityMid Senior
Employment typeTemporary/Casual
Work modeRemote
LocationAll - San Mateo, United States
Financial ModelingPythonRisk Management

Job description

About Us
Jupiter is the global market leader in analytics for resilience planning and enterprise climate risk management.  We are led by pioneers in data, climate, and earth and ocean sciences, as well as technology, risk management, company building, and public policy. Our climate risk modeling solutions save lives and mitigate potentially catastrophic impacts inflicted by hurricanes, floods, heat waves, wildfires, drought, and other extreme weather events on homes, businesses, infrastructure, food and water supplies, and entire economies.
Jupiter is also committed to the world community. Through our Jupiter Promise initiative we provide services to under-resourced countries and communities to promote sound decision making while including the potential impacts of climate change. Employees are encouraged to provide their expertise to various programs under the Jupiter Promise initiative.
Jupiter is bringing diversity to prepare a diverse planet for our changing climate. Jupiter was founded on the principle that with the right approaches and the right team, we can prepare Earth’s economies to meet the challenges associated with climate change. The world is a diverse place; a diverse workforce in an inclusive environment is essential to meet our goals. We go forward together.

Join Jupiter's Product organization to help build the risk engine behind our economic modeling. Working directly with the Principal PM, for Economic & Financial Modeling, you will translate climate hazard data into actionable financial metrics like EBITDA impact, CapEx/OpEx, and credit risk.

This is an associate-level, development-focused contract role designed for someone with solid Python and data engineering skills alongside a foundation in economics or finance. You will spend your time building and scaling model infrastructure while expanding your financial domain knowledge on the job through direct mentorship.

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