Quantitative Developer, Economic Modeling - Contractor

Jupiterintel; San Mateo (CA); On-site; USD 90,000 - 120,000; Part time

Job summary

Jupiter Intelligence is seeking an associate-level, contract data engineer to translate climate risk data into financial metrics. You will build scalable Python pipelines and collaborate with engineering, product, and client teams while expanding your finance knowledge.

Responsibilities include moving models from research to production, prototyping statistical and econometric methods, and handling large, diverse datasets in cloud environments using Docker, Pandas, and Polars.

Qualifications

• Degree in a quantitative field or equivalent practical experience.
• Proficient Python coding focused on production-quality code.
• Foundational finance/economics knowledge and eagerness to learn.
• Data engineering basics: sourcing, transforming, cleaning data.
• Ability to work both independently and with multiple teams.
• Experience with large datasets and modern data tools.
• Familiarity with Docker and cloud environments.

Responsibilities

• Build and scale pipelines to move models from research to production.
• Support model research with econometric and ML methods.
• Source, clean, and transform diverse financial, building, and hazard datasets.
• Collaborate with engineering, product, and client teams to document outputs.

Skills

Python programming

Data engineering basics

Finance/Economics knowledge

Independent work

Team collaboration

Large datasets

Cloud environments

Pandas/Polars

Education

Quantitative degree or equivalent

Tools

Docker

AWS

GCP

Azure

Pandas

Polars

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 andcommunities to promote sound decision making while including the potential impacts of climate change. Employees are encouraged toprovide 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.

• Build & Scale Pipelines: Write modular, well-tested Python code to move models from research prototypes into production pipelines across large company and asset datasets.
• Support Model Research: Assist in prototyping statistical, econometric, and machine learning models (e.g., time-series analysis, regression) to project climate hazard impacts.
• Data Engineering: Source, clean, and transform diverse financial, building, and hazard datasets, resolving missing data or anomalies.
• Cross-Functional Collaboration: Partner with engineering, product, and client teams to document outputs and communicate analytical findings clearly.

• Degree in a quantitative field (Computer Science, Finance, Economics, Statistics, or related discipline) or equivalent practical experience.
• Effective Python coding skills with a focus on writing clean, production-quality code (rather than one-off scripts).
• Foundational understanding of finance or economics and an eagerness to learn more.
• Basics of data engineering (sourcing, transforming, cleaning data) and standard git workflows.
• Ability to work both independently as well as collaboratively with multiple teams.

• Experience working with large datasets, Docker, cloud environments (AWS/GCP/Azure), or tools like pandas/Polars.
• Coursework, projects, or practical exposure in financial modeling, credit risk, or physical climate risk.
• Coursework or experience in financial engineering, credit risk, or quantitative modeling.

When we say Jupiter Intelligence is an Equal Opportunity Employer, we are not just adding a legal addendum. Of course, we do not discriminate:

Jupiter Intelligence is an equal opportunity employer to all, regardless of age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation.

In fact, we celebrate our differences as our strength and actively work to build an inclusive environment for all. If we can do anything to improve your application and interview process, please let us know!

Please also note: Successful candidates must be authorized to work in the US