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Credit Risk Data Science Jobs in Seattle, WA (NOW HIRING)

Microsoft

Senior Data Scientist

Redmond, WA · On-site

... risk and opportunities to the product and business as early as possible.Microsoft's mission is to ... Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research ...

Meta

Data Scientist

Bellevue, WA · On-site +1

$147K/yr

You will have the opportunity to work on a wide range of data science projects, such as developing ... Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment ...

Sidram Technologies

Data Scientist

Seattle, WA · On-site

Develop ML-based risk scoring models across multiple fraud and exception scenarios, replacing ... hands-on Data Science experience with a strong foundation in classical ML * Proficiency in ...

Microsoft

Principal Data Scientist

Redmond, WA

Frames ambiguous business problems into scalable data science opportunities and defines approaches that balance time to value, technical feasibility, risk, and long-term maintainability. Makes high ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

Frames ambiguous business problems into scalable data science opportunities and defines approaches that balance time to value, technical feasibility, risk, and long-term maintainability. Makes high ...

Apple

AIML - Data Scientist, Evaluation

Seattle, WA

$139K - $258K/yr

Within the evaluation organization, the mission of Data Science and Insights team is to guide ... risk assessment. Strong programming skills, including data-querying skills (SQL and/or Spark, etc ...

Boeing

Expert Data Scientist - EHS

Renton, WA · On-site

Required Qualifications : * 10+ years of experience in data science, analytics, or applied data solutions; experience in EHS, safety, environmental compliance, risk management, operations, or a ...

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All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Seattle, WA

Credit Risk Data Science information

See Seattle, WA salary details

$42.1K

$129.6K

$224.8K

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

As of Jun 29, 2026, the average yearly pay for credit risk data science in Seattle, WA is $129,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $159,900.00 per year, depending on experience, location, and employer.

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 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 are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

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.
What are popular job titles related to Credit Risk Data Science jobs in Seattle, WA? For Credit Risk Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Seattle, WA look for? The top searched job categories for Credit Risk Data Science jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Credit Risk Data Science jobs? Cities near Seattle, WA with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in Seattle, WA as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,600 per year, or $62.3 per hour.
Senior Finance Manager- Credit Risk

Senior Finance Manager- Credit Risk

Microsoft

Redmond, WA • On-site

Full-time

Posted 4 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

50th of 192 rated software companies

Job description

Overview
The Treasury Credit Risk team is looking for a Senior Finance Manager, Credit Risk who will have accountability for managing Credit Risk, while supporting revenue growth and protecting the company from financial and business risks. This will be a key role that will partner with Treasury stakeholders, including Infrastructure and Applications, Deal Execution and Collections in implementation of Microsoft credit risk policies and creating avenues to maximize revenue.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Prioritize
  • Leverage technology in managing credit risk, performing analysis, building risk models and credit solutions for capacity restraint situations. Develop and leverage relationships with key stakeholders to enable customer focused financing solutions that mitigate Microsoft's business risk.
  • Provide business leader support and actionable insights during financial close periods. Responsible for approving transactions like Collectability Reserve, Payment plans and restructuring, non-standard payment terms, etc.
  • Overall credit risk accountability of providing support, direction, and leadership for portfolio of trade AR and financing receivables.
  • Understand customer credit capacity needs; drive and support customer satisfaction initiatives, address customer and stakeholder queries, and represent Microsoft positively.
  • Contributes to new and unconventional methods and approaches to data collection, analysis, interpretation, and financial models. Provides advice and direction in evaluating suitability and reliability of data, articulate limitations, and propose solutions on data management and operations.

Partnership
  • Partner with other Treasury teams including Payment Solution Desk, and Customer Advocacy to deliver customer focused solutions that drive deal velocity while mitigating Microsoft's credit exposure.
  • Engage in projects across Treasury to drive efficiencies, mitigate Microsoft's credit exposure, and increase automation in credit risk. Develops new approaches to leverage best-in-class technology (e.g., Machine Learning, Artificial Intelligence, Predictive Analytics etc.) to accomplish goals.
  • Manage and execute processes through engagement with internal and external stakeholders. Collaborate with business leaders to define action plans for financial and business analysis findings
  • Integrates varied data sources and assimilates the information into a comprehensive, clear narrative. Communicates results in a compelling, timely, and understandable message through storytelling. Articulates understanding and awareness of business partner situations.
  • Develops and manages strategies to proactively mitigate, or reactively address, potential adverse effects of macroeconomic and/or geopolitical risks. Assesses potential impacts of changes.

Protect
  • Supports key organizational processes; provides input for annual risk assessment; engages in cross team collaboration.
  • Provide business insights and recommendations to peers and stakeholders to support revenue growth in a compliant manner.
  • Ensures compliance with company policies, legal standards, and regulatory requirements by reviewing and monitoring the accuracy of financial documents and business processes. Drives corrective measures. Supports questions regarding documentation, policy adherence, and requirements. Remains current on all company policies and procedures and updates others.
  • Ensures collaboration between business stakeholders and internal audit team. Meets with internal and external auditors to discuss audit procedures, respond to questions, and provide information and records.
  • Manages accounting and financial compliance, including the collection of data, accurate record-keeping, and coordinating with local Finance, Regional, and Corporate teams to implement reporting processes and ensure compliance with local legislations and statutory requirements. Advises and consults with peers and stakeholders regarding documentation, policy adherence, and sharing of financial data and information to minimize risk. Understands and adheres to financial compliance standards, Microsoft privacy, security, and ethical standards.

Other
  • Embody Microsoft culture and values

Qualifications
Required Qualifications
  • Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, accounting, controllership or finance, or related field OR Bachelor's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 4+ years experience in financial analysis, accounting, controllership or finance, or related field OR equivalent experience.

Preferred Qualifications
  • Reporting, Analytics, and/or forecasting
  • Adept usage of CoPilot, CoWork and other AI toolsets across a large corporate environment
  • Master's Degree in Business Administration, Accounting, Finance, Economics, Data Science or related field AND 2+ years experience in financial analysis, credit risk, controllership or finance, or related field
  • Demonstrated ability to collaborate across teams to achieve results

Treasury IC4 - The typical base pay range for this role across the U.S. is USD $97,600 - $188,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $125,000 - $206,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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