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Credit Risk Data Science Jobs in Lake Oswego, OR

Credit Analyst I

Lake Oswego, OR · On-site

$55K - $65K/yr

... risk management processes for our Application Only credit team. Dext Capital has been named one of ... Analyze financial data, including bank statements, balance sheets, statements of cash flows ...

Cyber Data Protection Manager

Portland, OR

$117K - $159K/yr

If so, consider joining Deloitte & Touche LLP's growing Cyber Risk Digital Trust & Privacy practice ... Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ...

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions . * Establish architectural patterns for AI model deployment, monitoring ...

Input loan data and prepare loan documentation for various types of Business Loans. * Coordinate ... In-depth knowledge of credit analysis, credit administration, credit policy, and risk analysis ...

Showing results 41-60

Credit Risk Data Science information

See Lake Oswego, OR salary details

$38.1K

$117.1K

$203.1K

How much do credit risk data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for credit risk data science in Lake Oswego, OR is $117,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $144,500.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What are popular job titles related to Credit Risk Data Science jobs in Lake Oswego, OR?

For Credit Risk Data Science jobs in Lake Oswego, OR, the most frequently searched job titles are:

Infographic showing various Credit Risk Data Science job openings in Lake Oswego, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,133 per year, or $56.3 per hour.

Credit Analyst I

Dext Capital LLC

Lake Oswego, OR • On-site

$55K - $65K/yr

Full-time

Re-posted 3 days ago


Job description

Dext Capital is a National, innovative, financial services company headquartered in the Portland Metro area. Dext offers an exceptional culture and countless opportunities for growth and advancement. We are seeking a motivated individual to join us as a Credit Analyst I (App Only) . As a key memberof Dext Capital's corporate Credit team, the successful candidate will play a crucial role in the credit analysis, and risk management processes for our Application Only credit team.
Dext Capital has been named one of the top 5 fastest-growing companies in the Greater Northwest and best place to work recipient for the last 3 years. Dext offers strong benefits and is committed to leveraging technology while enabling our employees to grow in a high-performance environment
Job Duties/Responsibilities:
  • Analyze financial data, including bank statements, balance sheets, statements of cash flows, business and personal credit reports.
  • Formulate recommendations with appropriate credit structures to provide effective risk mitigation. Effectively communicate findings and recommendations through strong written and verbal communication skills.
  • Collaborate with cross-functional teams to address appropriate credit issues. Build relationships with customers and various departments within the organization.
  • Ensure timely review of assigned transactions and credit facilities for new requests.
  • Special credit related projects as needed.

Characteristics:
  • Strong analytical and problem-solving skills.
  • Strong attention to detail.
  • Strong written and verbal communication skills.
  • Organizational skills and ability to multitask.
  • Works well within a team oriented, fast paced culture.
  • Sense of discretion and willingness to maintain strict confidentiality of pertinent and sensitive information.

Experience Requirements:
  • Bachelor's degree (business, finance or other related field preferred).
  • 2 years of experience in credit/underwriting (preferably in equipment finance).
  • Proficient in Microsoft office series (excel, word, outlook).

Salary Range: $55k - $65k