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Remote Credit Risk Modeling Jobs in Oregon (NOW HIRING)

Experience working with lending products, risk modeling, or financial services analytics ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

... risk models into production systems while maintaining correctness and auditability. * Improve ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Commercial Loan Officer 2

OR · On-site +1

$93K - $106K/yr

This position a remote role based in or near Eugene, OR, with regular travel required for on- site ... and risk reviews; monitor delinquencies and surface potential concerns with weakened credits.

Senior Manager, Product Quality Oversight

OR · On-site +1

$126K - $166K/yr

You will partner closely with Product, Engineering, Compliance Program Management, Risk, and ... Evaluate product outputs across lending and servicing workflows, including disclosures, credit ...

This is a remote position. Title: AI Forward Engineer Location: Remote, USA (Preferable in EDT ... Document AI model behavior, known limitations, and risk mitigations to a standard appropriate for ...

Senior Financial Analyst, Risk Adjustment

$85K - $106K/yr

Build, maintain, and enhance complex financial models to support monthly forecasts, annual budgets ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

Develops, manages, and optimizes BI solutions, including data models, dashboards, and reports ... to be completely remote * Fully Paid by Origami Risk - Vision insurance, Short & Long-Term ...

Tackling unique, deep-modeling challenges such as competing risk, collateral, and recovery modeling ... Familiarity with lending, lines of credit, or other consumer finance products. * Hands-on ...

You will conduct comprehensive security assessments, including penetration testing, threat modeling ... to be completely remote * Fully Paid by Origami Risk - Vision insurance, Short & Long-Term ...

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Remote Credit Risk Modeling information

What are the key skills and qualifications needed to thrive as a Remote Credit Risk Modeler, and why are they important?

To thrive as a Remote Credit Risk Modeler, you need a strong background in statistics, data analysis, and financial risk assessment, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical modeling tools such as SAS, R, Python, and experience with credit risk platforms or regulatory frameworks like Basel II/III are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are crucial for interpreting complex data and collaborating with remote teams. These skills ensure accurate risk assessments, regulatory compliance, and sound decision-making in credit portfolios.

What is the difference between Remote Credit Risk Modeling vs Remote Credit Analyst?

AspectRemote Credit Risk ModelingRemote Credit Analyst
Required CredentialsDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficialDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficial
Work EnvironmentDeveloping models, analyzing data, using statistical softwareAssessing creditworthiness, reviewing financial documents, communicating with clients
Industry UsageFinancial institutions, credit bureaus, fintech companiesBanks, lending institutions, credit agencies

Remote Credit Risk Modeling focuses on creating statistical models to predict credit risk, requiring strong analytical skills and technical expertise. Remote Credit Analysts evaluate individual credit applications and assess risk based on financial data. While both roles operate remotely within the finance industry, they differ in daily tasks and skill emphasis, with modeling being more technical and analysis more client-focused.

How does a remote Credit Risk Modeling professional typically collaborate with cross-functional teams?

As a remote Credit Risk Modeling professional, collaboration with cross-functional teams—such as data analysts, IT specialists, and business stakeholders—is usually facilitated through virtual meetings, shared project management tools, and version-controlled code repositories. Clear communication and regular updates are essential, as you'll often need to translate complex modeling outcomes into actionable insights for non-technical colleagues. Building strong relationships remotely can be a challenge, but utilizing video calls and collaborative documentation helps ensure alignment on project goals and timelines.

What is remote credit risk modeling?

Remote credit risk modeling involves analyzing and predicting the likelihood that borrowers will default on their loans, all while working from a location outside of a traditional office setting. Professionals in this role use statistical techniques and data analysis tools to assess creditworthiness and help financial institutions minimize risk. They often collaborate with teams virtually, utilizing secure platforms to access data and build predictive models. This remote setup allows for flexibility and efficiency while still upholding high standards of data security and accuracy.
What are popular job titles related to Remote Credit Risk Modeling jobs in Oregon? For Remote Credit Risk Modeling jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Credit Risk Modeling jobs in Oregon look for? The top searched job categories for Remote Credit Risk Modeling jobs in Oregon are:
What cities in Oregon are hiring for Remote Credit Risk Modeling jobs? Cities in Oregon with the most Remote Credit Risk Modeling job openings:
Principal Product Analyst

Principal Product Analyst

Upstart

OR • On-site, Remote

Other

Posted 22 days ago


Job description

The Team: 

Upstart's Product Analytics team is the compass for our product development, dedicated to transforming complex user behavior and platform data into clear, actionable product strategies. Operating at the intersection of data, engineering, and product management, the team designs rigorous experiments, builds scalable data infrastructure, and uncovers the deep insights that drive continuous innovation and ensure our lending products deliver exceptional value.

As a Principal Product Analyst supporting our unsecured installment products (including Personal Loans, Relief Loans, and Cashline), you will act as a strategic partner to product leadership, owning the analytics roadmap for a core area of Upstart's business. You will champion a culture of experimentation, execute high-impact analyses to decode user journey dynamics, and collaborate seamlessly with Product, Engineering, and Machine Learning teams to translate complex data into scalable, growth-driving product enhancements.

How you'll make an impact

  • Drive product strategy through data: Partner closely with Product Management, Engineering, and Design leaders to define success metrics, size new opportunities, and shape the strategic roadmap for our unsecured installment products.
  • Lead rigorous experimentation: Own the end-to-end A/B testing lifecycle-from hypothesis generation and experimental design to deep-dive analysis and executive readout-to continuously optimize user funnels and product features.
  • Execute high-impact behavioral analyses: Dive deep into complex user journey data to uncover friction points, retention drivers, and growth levers, translating raw telemetry into actionable product recommendations.
  • Architect scalable data solutions: Collaborate with Engineering teams to define tracking requirements for new product launches, ensuring high data quality and building intuitive dashboards that empower teams with self-serve insights.
  • Elevate the analytics culture: Act as a thought leader within the Product Analytics organization by mentoring peers, establishing best practices for analytical rigor, and championing a deeply data-informed culture across Upstart.

Minimum Qualifications 

  • 10+ years of professional experience in product analytics, data science, or a similar quantitative role focused on product optimization and user behavior.
  • Expert-level proficiency in SQL & strong applied experience with 1+ statistical programming language (Python or R) 
  • Proven track record of designing, executing, and evaluating A/B tests, with a deep understanding of experimental design, hypothesis testing, and statistical rigor.
  • Hands-on experience building foundational reporting and interactive dashboards using modern Business Intelligence and data visualization tools (e.g., Looker, Tableau, or similar).

Preferred Qualifications

  • Master's / PhD in a quantitative field (e.g., Statistics, Economics, Computer Science, Data Science)
  • Experience working with lending products, risk modeling, or financial services analytics.
  • Excellent communication skills with a proven ability to present complex data insights in a clear and actionable manner.
  • Comfort with ambiguity and a strategic mindset for solving complex, unstructured problems.

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

Time zone requirements The team operates on the East/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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