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Credit Risk Data Science Jobs in Wisconsin (NOW HIRING)

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

WI · On-site

$110 - $150/hr

## Senior Credit Risk Modeling AnalystApplylocations: ASC - San Antoniotime type: Full timeposted on ... Gathers and analyzes pertinent data to create or strengthen models that forecast risk exposure and ...

New

WI · On-site

$100 - $150/hr

Senior Credit Risk Modeling Analyst will have the ability to work a hybrid schedule (remote/onsite ... Gathers and analyzes pertinent data to create or strengthen models that forecast risk exposure and ...

New

Vision | We create the future of credit risk management through data, analytics, and risk process innovation for our customers. Mission | We deliver data-driven information solutions to protect our ...

WI · On-site

$180 - $240/hr

Deep knowledge of underwriting using bank & cash-flow analysis, bureau & alternate data, bureaus etc. with a focus on unsecured credit risk. * 5+ years of leading teams (data science, analytics, risk ...

... risk processes and governance programs, and credit data at U.S. Bank, or another mid-sized or large banking institution - Considerable understanding of the business line's operations, products ...

This role manages data integration and analysis to support independent credit risk assessments, ensures compliance with regulatory and IT requirements, and provides reporting and insights to ...

Analyze customer financial information, credit reports, and payment history to assess credit risk ... Establish and maintain customer master data, including credit terms, billing information, and ...

Analyze customer financial information, credit reports, and payment history to assess credit risk ... Establish and maintain customer master data, including credit terms, billing information, and ...

This role manages data integration and analysis to support independent credit risk assessments, ensures compliance with regulatory and IT requirements, and provides reporting and insights to ...

Analyze customer financial information, credit reports, and payment history to assess credit risk ... Establish and maintain customer master data, including credit terms, billing information, and ...

Conduct scenario analysis, what-if studies, optimization, and risk analysis. * Interpret simulation ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Conduct scenario analysis, what-if studies, optimization, and risk analysis. * Interpret simulation ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Conduct scenario analysis, what-if studies, optimization, and risk analysis. * Interpret simulation ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Conduct scenario analysis, what-if studies, optimization, and risk analysis. * Interpret simulation ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

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Credit Risk Data Science information

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 Wisconsin?

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

What job categories do people searching Credit Risk Data Science jobs in Wisconsin look for?

The top searched job categories for Credit Risk Data Science jobs in Wisconsin are:

Infographic showing various Credit Risk Data Science job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Credit Risk Analyst

Colony Brands, Inc.

Monroe, WI • On-site

Other

Posted 7 days ago


Colony Brands rating

5.6

Company rating: 5.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

We are seeking an exempt-level Credit Risk Analyst to utilize a combination of analytical skills and techniques and statistical methods to assist our Credit Risk Consultants. If you possess a passion for innovative analysis and cross-functional collaboration – this could be the place for you! What You’ll Do You’ll create credit risk models, research collection techniques and effectiveness, analyze credit marketing tests and provide credit decision support to improve the overall effectiveness of the internal credit programs of our clients. You’ll also be responsible for: • Assisting in developing and maintaining credit pre-approval and limit policies • Auditing test and control groups to assure proper setup and execution • Providing statistical support for “ad hoc” credit analysis • Evaluating credit test results and offering recommendations • Writing Structured Query Language (SQL) and statistical software programs such as R or Python to pull necessary data from the Marketing Database [HR Recruiter will enter Job Description]

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