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First Credit Jobs in Oregon (NOW HIRING)

The Team Upstart's Credit Analytics team is at the center of how we understand, forecast, and ... Travel requirements - As a digital first company, the majority of your work can be accomplished ...

Credit Analyst 6

Gresham, OR · On-site

$105K - $124K/yr

Responsible for approving the extension of credit and/or making recommendations to the person(s ... The salary range reflects figures based on the primary location, which is listed first. The actual ...

SBA Credit Analyst

Gresham, OR · On-site

$98K - $115K/yr

Responsible for approving the extension of credit and/or making recommendations to the person(s ... The salary range reflects figures based on the primary location, which is listed first. The actual ...

SBA Credit Analyst

Gresham, OR · On-site

$98K - $115K/yr

Responsible for approving the extension of credit and/or making recommendations to the person(s ... The salary range reflects figures based on the primary location, which is listed first. The actual ...

Responsible for approving the extension of credit and/or making recommendations to the person(s ... The salary range reflects figures based on the primary location, which is listed first. The actual ...

Responsible for approving the extension of credit and/or making recommendations to the person(s ... The salary range reflects figures based on the primary location, which is listed first. The actual ...

The Credit Portfolio Manager partners with assigned Relationship Manager(s) to successfully manage ... The salary range reflects figures based on the primary location, which is listed first. The actual ...

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First Credit information

What are some common challenges faced by First Credit analysts, and how can they be addressed on the job?

First Credit analysts often encounter challenges such as assessing the creditworthiness of applicants with limited financial history and managing a high volume of applications under tight deadlines. To address these, it’s helpful to develop strong analytical skills, stay updated on credit risk assessment tools, and maintain clear communication with both clients and internal teams. Collaborating closely with risk managers and underwriters can also help ensure accurate and timely decision-making. Continuous professional development and learning about emerging credit trends can further support success in this role.

What is the difference between First Credit vs Credit Analyst?

AspectFirst CreditCredit Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require additional certificationsBachelor's degree in finance, economics, or related field; certifications like CFA can be advantageous
Work EnvironmentOffice setting, often in financial institutions or credit agenciesOffice environment, working with financial data and client information
Industry UsageUsed broadly in credit and lending sectors for initial credit assessmentsSpecialized role within banking, finance, and lending institutions for detailed credit analysis

First Credit roles typically involve initial credit assessments and require basic financial knowledge, while Credit Analysts perform in-depth analysis of credit data, often requiring higher education and certifications. Both roles are essential in the lending process but differ in complexity and qualifications.

What are First Credit jobs?

First Credit jobs typically refer to positions at companies named First Credit or roles related to the initial stage of credit analysis and management. These roles often involve assessing the creditworthiness of individuals or businesses, managing accounts, and handling collections or customer inquiries. Employees may work as credit analysts, customer service representatives, or collections agents. The primary goal is to help organizations manage risk, approve appropriate credit lines, and ensure timely payments. Strong communication, analytical skills, and attention to detail are important for these jobs.

What are the key skills and qualifications needed to thrive as a credit analyst, and why are they important?

To thrive as a Credit Analyst, you need a solid understanding of financial analysis, accounting principles, and risk assessment, typically supported by a degree in finance, accounting, or a related field. Familiarity with financial modeling software, Microsoft Excel, and credit risk management systems is essential. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and present findings clearly. These abilities are crucial for accurately evaluating creditworthiness and supporting sound lending decisions.
What are popular job titles related to First Credit jobs in Oregon? For First Credit jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for First Credit jobs? Cities in Oregon with the most First Credit job openings:
Infographic showing various First Credit job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 4% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Full-time

Re-posted 8 days ago


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 Principal Credit Analytics, you will lead a key pillar of these functions, credit forecasting & valuation or risk capital analytics-driving high-impact analytics that inform portfolio strategy, financial planning, and funding decisions. You'll partner closely with Machine Learning, Finance, Product, and Capital teams to translate complex credit dynamics into actionable insights and scalable systems.

How you'll make an impact
  • Own a core analytics domain within Credit Analytics (forecasting & valuation or risk capital), driving execution and continuous improvement of frameworks that power portfolio monitoring, planning, and decision-making
  • Develop and enhance credit forecasting and valuation methodologies, including loss forecasting, scenario analysis, and portfolio performance measurement, ensuring outputs are accurate, explainable, and decision-useful
  • Contribute to risk capital analytics and reporting, supporting funding strategies such as securitizations, warehouse facilities, and forward-flow programs through robust performance tracking, stress scenarios, and risk/return analysis
  • Translate analytics into business impact, delivering clear insights and recommendations that guide product strategy, credit policy, and funding decisions
  • Partner cross-functionally with ML, Finance, Product, Engineering, and Capital teams to align on definitions, metrics, and frameworks, and to integrate analytics into core workflows and decision processes
  • Build and scale analytics infrastructure, including data models, pipelines, dashboards, and reporting tools that enable consistent, self-serve insights across stakeholders
  • Uplevel analytical rigor and processes, establishing best practices for validation, monitoring, and governance of credit models and analytics outputs
Minimum Qualifications
  • 7+ years of experience in analytics, credit risk, or quantitative finance within fintech, financial services, or related industries
  • Experience building or applying credit risk / loss forecasting, portfolio analytics, or valuation frameworks in consumer lending or similar domains
  • Exposure to risk capital or structured finance concepts (e.g., securitizations, warehouse facilities, forward flow, or investor reporting)
  • Strong analytical and technical skills, including proficiency in SQL and at least one programming language (Python or R), and experience working with large datasets
  • Ability to translate complex analyses into clear, actionable insights for both technical and non-technical stakeholders
Preferred Qualifications
  • Experience partnering with ML / data science teams, particularly in underwriting or model performance monitoring
  • Familiarity with capital analytics, deal economics, and risk/return frameworks
  • Experience building or improving analytics infrastructure (data models, dashboards, automated reporting, GenAI solutions)
  • Exposure to model governance, controls, or audit processes (e.g., SOX, model validation, valuation reviews)
  • Demonstrated ability to influence cross-functional stakeholders and drive alignment across teams

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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