Quantitative Developer, Economic Modeling – Contractor

Job not on LinkedIn

🕒 September 1

🏄 California, Colorado, +1 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote

💵 $50 - $60 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jupiter Intelligence

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

💼 Consulting

📦 Logistics

🤖 Artificial Intelligence

Consulting • Logistics • Artificial Intelligence

Jupiter Intelligence is a leader in providing decision-ready climate risk analytics to help organizations understand and manage their exposure to physical climate risks. Utilizing advanced methodologies and artificial intelligence, Jupiter delivers comprehensive data solutions that enable businesses to navigate climate risk regulations, enhance resilience, and report on climate impacts effectively. Their services cater to various sectors, including banking, insurance, and energy, offering insights that are essential for compliance and operational risk management in a changing climate.

📋 Description

• Build modular, well-tested Python code to move models from research prototypes into production pipelines across large company and asset datasets • Assist in prototyping statistical, econometric, and machine learning models, including time-series analysis and regression, to project climate hazard impacts • Source, clean, and transform diverse financial, building, and hazard datasets • Resolve missing data and anomalies • Partner with engineering, product, and client teams • Document outputs and communicate analytical findings clearly • Translate climate hazard data into actionable financial metrics such as EBITDA impact, CapEx/OpEx, and credit risk • Build and scale model infrastructure under direct mentorship from the Principal PM for Economic & Financial Modeling

🎯 Requirements

• Degree in a quantitative field (Computer Science, Finance, Economics, Statistics, or related discipline) or equivalent practical experience • Effective Python coding skills focused on clean, production-quality code • Foundational understanding of finance or economics and eagerness to learn • Basics of data engineering, including sourcing, transforming, and cleaning data • Standard git workflows • Ability to work independently and collaboratively with multiple teams • Successful candidates must be authorized to work in the US • Experience with large datasets, Docker, cloud environments (AWS/GCP/Azure), or pandas/Polars is an advantage • Coursework, projects, or practical exposure in financial modeling, credit risk, or physical climate risk is an advantage • Coursework or experience in financial engineering, credit risk, or quantitative modeling is an advantage

🏖️ Benefits

• Direct mentorship • Opportunity to expand financial domain knowledge on the job • Equal opportunity and inclusive work environment • Employees are encouraged to provide expertise to Jupiter Promise initiatives