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Remote Credit Risk Modeling Jobs in Oregon (NOW HIRING)

Senior Data Engineer

$117K - $146K/yr

Knowledge of ETL/ELT design patterns and data modeling * Experience building APIs and file-based ... to be completely remote * Fully Paid by Origami Risk - Vision insurance, Short & Long-Term ...

... and risk management decisions across the product lifecycle. What we do The Lifecycle Management ... Whatyou'lldo * Develop andmaintaincomplex lifecycle cost models, including Life Cycle Cost ...

Fund Manager Sr. - LIHTC

Portland, OR · On-site +1

$73K - $100K/yr

This role is responsible for fund-level accounting, financial modeling, and cash flow execution to ... This position may be eligible for remote work in select geographic locations, subject to approval ...

Principal Software Engineer, Unsecured Installments

OR · On-site +1

$134K - $180K/yr

Partner closely with machine learning engineers and data teams to productionize models and ... Remote, Burlingame, Columbus, Austin, New York Time Zone Requirements - This team operates across ...

... credit holds, and contract discrepancies in a timely manner * Prepare and deliver weekly and ... Develop, document, and enforce internal controls and A/R policies to mitigate risk and ensure ...

... credit holds, and contract discrepancies in a timely manner * Prepare and deliver weekly and ... Develop, document, and enforce internal controls and A/R policies to mitigate risk and ensure ...

... credit holds, and contract discrepancies in a timely manner * Prepare and deliver weekly and ... Develop, document, and enforce internal controls and A/R policies to mitigate risk and ensure ...

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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:
Senior Data Engineer

$117K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Overview

The Senior Data Engineer plays a pivotal role within our expanding Data and AI team. This person helps build and scale our next-generation data platform, starting with our modernization initiative; transitioning from legacy ingestion processes embedded in C# .NET code to a scalable, cloud-native architecture on AWS and expanding into our Databricks analytical data platform for advanced processing and analytics. This is a highly impactful, hands-on role responsible for designing and implementing AI-assisted data pipelines and distributed systems that power data product, analytics, data science, and operational use cases.

Starting base pay for this role is between $117,000 and $146,000. The actual base pay is dependent upon many factors, such as transferable skills, work experience, business needs, training, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will be eligible for a bonus as well as competitive medical, dental, and vision benefits, wellness reimbursement, life insurance, and a 401(k) with company match. We offer vacation and sick leave benefits (under a flexible time off policy in most states).

Responsibilities
  • Designs and implements scalable data-ingestion pipelines using AWS services (e.g., S3, Lambda, API Gateway, Glue, Step Functions, Amazon Bedrock, Amazon  Agent Core) and Azure DevOps
  • Builds APIs and file upload mechanisms for client data ingestion
  • Develops data mapping and transformation workflows for loading into SQL Server client databases
  • Contributes to the design and implementation of a data Lakehouse architecture leveraging Databricks
  • Enables seamless data flow from the SaaS platform to the analytical platform
  • Optimizes ETL/ELT processes for performance and reliability
  • Collaborates with analytics teams to ensure data availability and quality for reporting and machine learning use cases
  • Provides operational support for existing ingestion processes integrated into C# .NET code and UI
  • Troubleshoots and resolves data pipeline issues across environments
  • Works closely with Software Engineers, Architects, and Product teams to align data solutions with business needs
  • Implements best practices for data governance, security, and compliance in a multi-tenant environment
  • Documents architecture, workflows, and operational procedures
Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field required
  • 7+ years in Data Engineering or related role
  • Strong experience with AWS services for data engineering (S3, Lambda, Glue, Step Functions, API Gateway)
  • Proficiency in Python and/or C# .NET for data processing and integration
  • Hands-on experience with SQL Server and relational database concepts
  • Familiarity with Databricks, Spark, and Lakehouse architectures
  • Knowledge of ETL/ELT design patterns and data modeling
  • Experience building APIs and file-based ingestion solutions
  • Exposure to multi-tenant SaaS environments is a plus
  • Strong problem-solving and analytical skills
  • Ability to work collaboratively in a cross-functional team
  • Excellent communication and documentation skills

Preferred Qualifications:

  • Experience with CI/CD pipelines for data workflows
  • Knowledge of data governance and security best practices in cloud environments
  • Familiarity with modern data integration tools and frameworks
  • Exposure to machine learning pipelines and real-time data processing
Benefits
  • Medical and Dental coverage available for employees, dependents, domestic partners, and spouses
  • Paid Time Off - Flexible options plus 10 paid company holidays where available**
  • All full-time positions are hybrid, with many eligible to be completely remote
  • Fully Paid by Origami Risk - Vision insurance, Short & Long-Term Disability Insurance, and Basic Life Insurance
  • Generous family leave options-including adoption and foster care placements
  • Pre-Tax Savings Accounts - Flexible Spending Account, Health Savings Account, Commuter Benefits, Dependent Care Savings Account
  • Retirement Savings - 401(k) with company match up to 4%
  • Employee Assistance Program (EAP) - Confidential & Free support offered to colleagues facing personal or work-related complications
  • Education Assistance Program - to help colleagues pursue industry/role-specific certifications
  • Wellness Benefits - reimbursement program to invest in healthy habits as well as support better colleague productivity and stress management
  • Additional coverages available - Pet Insurance, Critical Illness Insurance, and Voluntary Life & AD&D coverage
**Flexible PTO not available in California or the UKWho We Are

Origami Risk delivers single-platform SaaS solutions that help organizations best navigate the complexities of risk, insurance, compliance, and safety management.

Founded by industry veterans who recognized the need for risk management technology that was more configurable, intuitive, and scalable, Origami continues to add to its innovative product offerings for managing both insurable and uninsurable risk; facilitating compliance; improving safety; and helping insurers, MGAs, TPAs, and brokers provide enhanced services that drive results.

A singular focus on client success underlies Origami's approach to developing, implementing, and supporting our award-winning software solutions. 

Origami Risk is proud to be an equal opportunity employer. We thrive and benefit from diversity and are committed to creating an inclusive and equitable environment for all employees. We do not discriminate against any individual based upon race, religion, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, color, sex, national origin, age, marital status, military or veteran status, disability, or any other characteristic protected by applicable law.

Caution: Be alert to recruiting scams. We have received reports of individuals impersonating Origami Risk recruiters to deceive candidates into disclosing personal information. These impostors use fake Origami Risk domain names and email addresses. Please double-check that any email address from an Origami Risk recruiter ends with origamirisk.com or talent.icims.com. And to confirm the legitimacy of any recruiting communication, feel free to email transparencycheck@origamirisk.com.

Employment Type: FULL_TIME