Quantitative Developer, Economic Modeling - Contractor
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- Compensation plan where your full-time rate will vary depending on your location and confirmed job-related skills and experience.
- For part-time roles, your compensation will be adjusted to reflect your hours.
- Base Pay is based on several factors including but not limited to education, work experience, certifications, etc.
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What This Job Offers
Career Level
Entry Level
Education Level
Associate degree
