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Model Validation Remote Jobs in Oregon (NOW HIRING)

Upstart

Staff Analyst

OR · On-site +1

$61K - $81K/yr

Exposure to model governance, controls, audit, model validation, or valuation review processes ... Remote Time zone requirements - The team operates on the West coast time zones. Travel requirements ...

AmeriSave Mortgage Corp.

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models ... Model Validation and Monitoring: Rigorously test, validate, and monitor model performance ...

Upstart

Principal Credit Analyst

OR · On-site +1

Exposure to model governance, controls, or audit processes (e.g., SOX, model validation, valuation ... Remote Time zone requirements - The team operates on the West coast time zones. Travel requirements ...

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Model Validation Remote information

What is model validation in a remote job context?

Model validation, especially in a remote setting, involves evaluating and verifying the accuracy, performance, and reliability of statistical or machine learning models from a location outside of a traditional office. Professionals in this role typically assess whether models meet regulatory requirements, function as intended, and are free from biases or errors. Remote model validators use various tools and techniques to conduct tests, write reports, and communicate findings with stakeholders via digital platforms. This work is essential in sectors like finance, insurance, and tech, where robust models drive critical decisions. Successful remote model validation requires strong analytical skills, clear communication, and proficiency with data analysis tools.

What are the key skills and qualifications needed to thrive as a model validation remote?

To thrive as a Model Validation Remote, you need a strong background in quantitative disciplines such as mathematics, statistics, or finance, typically supported by a relevant degree. Proficiency with statistical software (like SAS, R, or Python), model risk management frameworks, and familiarity with regulatory guidelines (such as SR 11-7) are commonly required. Analytical thinking, attention to detail, and strong written communication are crucial soft skills in this role. These skills ensure accurate model assessments, regulatory compliance, and effective communication of complex findings to stakeholders.

What are some common challenges faced by professionals in remote model validation roles, and how can they be addressed?

Remote model validation professionals often encounter challenges such as maintaining clear communication with model developers and stakeholders, accessing secure data environments, and staying updated with evolving regulatory standards. To address these, it's important to leverage robust collaboration tools, schedule regular check-ins with cross-functional teams, and participate in ongoing training or knowledge-sharing sessions. Establishing clear documentation protocols and ensuring secure remote access to necessary data can also help maintain productivity and compliance.

What is the difference between Model Validation Remote vs Model Validation on-site?

AspectModel Validation RemoteModel Validation on-site
Work EnvironmentRemote, home-basedOn-site, office or client location
Required CredentialsSimilar certifications, e.g., CFA, FRM, or relatedSame as remote, often with additional in-person requirements
Industry UsageFinancial institutions, banks, asset managersSame industries, with in-person collaboration
Work FlexibilityHigh, flexible hours and locationLess flexible, fixed hours and location

Both remote and on-site model validation roles require similar credentials and industry knowledge. The main difference lies in the work environment and flexibility, with remote positions offering greater convenience and location independence, while on-site roles facilitate direct collaboration and immediate access to resources.

What are the most commonly searched types of Model Validation jobs in Oregon?

The most popular types of Model Validation jobs in Oregon are:

What are popular job titles related to Model Validation Remote jobs in Oregon?

For Model Validation Remote jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Model Validation Remote jobs in Oregon look for?

The top searched job categories for Model Validation Remote jobs in Oregon are:

What cities in Oregon are hiring for Model Validation Remote jobs?

Cities in Oregon with the most Model Validation Remote job openings:

Model Validation Remote jobs near you

Staff Analyst

OR • On-site, Remote

Upstart
See more jobs at Upstartexternal

$61K - $81K/yr

Full-time

Re-posted yesterday

Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

The Team: 

Upstart's Credit Analytics team is at the center of how we understand, forecast, and communicate credit performance across the company. The team builds the frameworks, infrastructure, and insights that connect our AI-driven underwriting, portfolio performance, and funding strategy, ensuring decisions are grounded in a rigorous and forward-looking view of risk and return.
As a Staff Credit Analyst, you will contribute to high-impact credit analytics supporting portfolio strategy, financial planning, and funding decisions. You will work closely with Machine Learning, Finance, Product, Engineering, and Capital teams to translate complex credit dynamics into actionable insights and scalable analytical solutions.

This role offers the opportunity to deepen expertise across credit forecasting and valuation, portfolio analytics, and risk capital analytics while helping improve the tools and processes used to monitor and manage credit performance.

How you'll make an impact

  • Develop and maintain credit analytics used for portfolio monitoring, forecasting, valuation, and decision-making.
  • Support loss forecasting, scenario analysis, portfolio performance measurement, and related reporting.
  • Contribute to risk capital analytics for funding strategies, including securitizations, warehouse facilities, and forward-flow programs.
  • Analyze portfolio trends and translate findings into clear recommendations for product, credit policy, finance, and funding stakeholders.
  • Partner with cross-functional teams to align on definitions, metrics, analytical frameworks, and business requirements.
  • Build and improve data models, pipelines, dashboards, and automated reporting to enable reliable, self-serve insights.
  • Establish strong practices for analytical validation, monitoring, documentation, and governance.
  • Communicate complex analyses clearly to both technical and non-technical audiences.

Minimum Qualifications 

  • 5+ years of experience in analytics, credit risk, quantitative finance, or a related field within fintech, financial services, consumer lending, or a similar industry.
  • Experience with credit risk, loss forecasting, portfolio analytics, valuation, or related financial-performance frameworks.
  • Working knowledge of risk capital or structured finance concepts, such as securitizations, warehouse facilities, forward-flow programs, or investor reporting.
  • Strong SQL skills and proficiency in at least one programming language, such as Python or R.
  • Experience working with large datasets and developing repeatable, well-documented analyses.
  • Ability to turn complex analytical work into clear, actionable business insights.
  • Strong written and verbal communication skills, with the ability to collaborate effectively across functions.

Preferred Qualifications

  • Experience partnering with Machine Learning or Data Science teams, particularly in underwriting or model-performance monitoring.
  • Familiarity with capital analytics, deal economics, and risk/return frameworks.
  • Experience building analytics infrastructure, dashboards, automated reporting, or GenAI-enabled analytical solutions.
  • Exposure to model governance, controls, audit, model validation, or valuation review processes.
  • Demonstrated ability to manage analytical projects, influence stakeholders, and drive alignment.

Position location - This role is available in the following locations: Remote

Time zone requirements - The team operates on the West coast time zones.

Travel requirements - As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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#LI-MidSenior 

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