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Internship Quantitative Risk Modeler Jobs in Seattle, WA

Opendoor

Applied Scientist- Pricing

Seattle, WA · On-site

They are seeking an Applied Scientist to tackle complex quantitative challenges related to pricing, demand modeling, and risk management, contributing to their valuation and pricing ecosystem.

DAT

Senior Applied Scientist, Trust & Safety

Seattle, WA · On-site

$104K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conceptualize, propose, implement, and iterate on models and algorithms for fraud detection, risk ... Apply machine learning, graph and network algorithms, anomaly detection, and other quantitative ...

Opendoor

Applied Scientist- Pricing

Seattle, WA · On-site

$156K - $335K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience developing quantitative models to support real-world decision-making under uncertainty ... risk modeling * Background in real estate, housing, finance, or adjacent marketplace domains

Nscale

VP, Financial Services GTM

Seattle, WA · On-site

Banks, massive hedge funds, quantitative trading firms, and leading fintechs have a huge, rapidly growing demand for dedicated AI infrastructure to power algorithmic trading, risk modeling, deep ...

Milliman

Actuarial Intern - EB Consulting

Seattle, WA

  • Medical

  • Life

  • Retirement

  • PTO

The internship is a 10-week program, starting June 1st and ending August 5th. This role offers a ... What We Are Looking For We are looking for motivated students pursuing a quantitative bachelor ...

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All JobsQuantitative Risk Modeler JobsInternship Quantitative Risk Modeler JobsInternship Quantitative Risk Modeler Jobs in Seattle, WA

Internship Quantitative Risk Modeler information

What is the difference between Internship Quantitative Risk Modeler vs Quantitative Risk Analyst?

AspectInternship Quantitative Risk ModelerQuantitative Risk Analyst
CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsOften requires a degree in finance, economics, or quantitative disciplines; certifications like FRM or CFA are common
Work EnvironmentInternship setting, learning-focused, supervised by senior staffFull-time professional role, responsible for risk assessment and modeling
Employer & Industry UsageUsed in banks, asset management firms, and financial institutions for training and entry-level rolesCommon in financial services, banking, and investment firms for ongoing risk management

The Internship Quantitative Risk Modeler is an entry-level, learning-focused role typically held by students or recent graduates, whereas the Quantitative Risk Analyst is a full-time professional responsible for analyzing and managing risk using quantitative models. The internship provides foundational experience, while the analyst role involves ongoing risk assessment and decision-making.

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For Internship Quantitative Risk Modeler jobs in Seattle, WA, the most frequently searched job titles are:

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The top searched job categories for Internship Quantitative Risk Modeler jobs in Seattle, WA are:

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Cities near Seattle, WA with the most Internship Quantitative Risk Modeler job openings:

Internship Quantitative Risk Modeler jobs near you
Infographic showing various Internship Quantitative Risk Modeler job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.

Applied Scientist- Pricing

Opendoor

Seattle, WA • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Opendoor is on a mission to empower homeowners and those aspiring to be one. They are seeking an Applied Scientist to tackle complex quantitative challenges related to pricing, demand modeling, and risk management, contributing to their valuation and pricing ecosystem.
Responsibilities:
• Build models that help Opendoor make better decisions around pricing, resale strategy, and portfolio risk
• Develop demand and conversion models using both pre-listing and post-listing signals
• Design and improve optimization frameworks that balance objectives like margin, conversion, and risk
• Apply statistical, econometric, and mathematical modeling techniques to problems where structure matters and pure black-box prediction is not enough
• Design experiments and measurement approaches to quantify price elasticity, customer response, and product trade-offs
• Partner with Engineering, Product, and Operations to turn models into systems that influence real decisions
• Bring a pragmatic, hands-on approach: move quickly from idea to prototype to production-ready scientific component
Qualifications:
Required:
• Experience developing quantitative models to support real-world decision-making under uncertainty
• Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
• Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
• Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
• Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly
Preferred:
• Experience in pricing, marketplace modeling, revenue management, supply/demand systems, inventory optimization, or risk modeling
• Background in real estate, housing, finance, or adjacent marketplace domains
• Familiarity with distributed data processing tools such as Pyspark
• Experience with machine learning methods broadly, including where deep learning can complement structured statistical modeling
• Experience working with large language models (LLMs) or vision-language models (VLMs)
Company:
Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. Founded in 2014, the company is headquartered in Tempe, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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