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Credit Risk Data Science Jobs in Wisconsin (NOW HIRING)

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related ...

The data collected may include credit reports, industry research, and tax returns. Inputs the data ... credit risk and potential loss. Sets up and maintains databases used to analyze accounts and/or ...

The data collected may include credit reports, industry research, and tax returns. Inputs the data ... credit risk and potential loss. Sets up and maintains databases used to analyze accounts and/or ...

Data Architecture - Sr Advisor II

Milwaukee, WI · On-site

$66.25 - $88.75/hr

Design, architect, and build products across credit risk, marketing, verification and data insight ... Bachelor's degree in Computer Science, Electronic Engineering, Electrical Engineering or a related ...

Senior Credit Analyst

Madison, WI · On-site

$38.39 - $42.50/hr

Provide meaningful context to financial data to help readers understand financial condition and credit risks. * Consistently identify credit and operational risk and suggest mitigating factors when ...

Provide meaningful context to financial data to help readers understand financial condition and credit risks. * Consistently identify credit and operational risk and suggest mitigating factors when ...

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Showing results 1-20

Credit Risk Data Science information

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.

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 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 May 2026, with employment types broken down into 2% As Needed, 77% Full Time, and 21% Part Time. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.
Senior Data Quality Specialist

Senior Data Quality Specialist

Schreiber Foods, Inc.

Green Bay, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago


Schreiber Foods rating

8.2

Company rating: 8.2 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

56th of 378 rated food and drinks producers


Job description

Job Category:FinanceJob Family:Financial Planning & AnalysisJob Description:

The Senior Data Quality Specialist is responsible for ensuring the accuracy, completeness, consistency, and reliability of enterprise data used for reporting, analytics, and operational decisionmaking. This role partners closely with business, IT, and analytics teams to define data quality standards, monitor data health, and drive rootcause resolution of data issues. This role plays a key role in strengthening data governance, improving business confidence in data, and enabling scalable, highquality data usage across the organization.

Key Responsibilities

Data Quality Management

  • Define, implement, and monitor data quality rules, metrics, and controls across key data domains (e.g., customer, vendor, finance, master data).
  • Perform ongoing data profiling, validation, and exception analysis to identify data quality issues.
  • Track and report on data quality KPIs such as accuracy, completeness, timeliness, and consistency.
  • Maintain data quality dashboards and issue logs to support transparency and accountability.

Data Lineage & Data Consumption Analysis

  • Document and maintain endtoend data lineage for critical finance and operational data elements, from source systems through transformations to downstream reports, dashboards, and analytics.
  • Analyze how, where, and by whom data is consumed (reports, KPIs, models, extracts) to identify highimpact data elements and prioritize data quality controls accordingly.
  • Partner with Finance, Analytics, and IT teams to assess the business impact of data quality issues based on downstream usage and decision criticality.
  • Support impact analysis for data changes by identifying upstream and downstream dependencies and communicating risks to stakeholders.
  • Contribute to data governance efforts by aligning lineage and consumption insights to data ownership, stewardship, and quality standards.

Root Cause Analysis & Issue Resolution

  • Investigate data quality issues to identify root causes, including upstream process, system, or integration failures.
  • Partner with business process owners and IT to design and implement corrective and preventive actions.
  • Validate fixes and ensure sustainable resolution of recurring data issues.
  • Support prioritization of data quality remediation efforts based on business impact and risk.

Data Governance & Standards

  • Support the development and enforcement of data governance policies, standards, and definitions.
  • Collaborate with data owners and data stewards to ensure consistent data definitions and usage.
  • Contribute to data documentation, including business glossaries, data dictionaries, and process flows.
  • Promote best practices in data management and data stewardship across the organization.

Business Partnership & Enablement

  • Act as a liaison between business users, analytics teams, and IT to ensure data is fit for purpose.
  • Support reporting, analytics, and automation initiatives by ensuring highquality underlying data.
  • Educate stakeholders on data quality concepts, impacts, and responsibilities.
  • Provide insights and recommendations to improve data reliability and decisionmaking.

What you need to succeed:

  • Bachelor's degree in Data Analytics, Information Systems, Business, Data Science, Finance, Accounting, or a related field.
  • 3-6 years of experience in data quality, data analysis, reporting, or data management roles.
  • Strong understanding of data quality dimensions and controls.
  • Experience working with large datasets and multiple data sources.
  • Strong analytical, problemsolving, and rootcause analysis skills.
  • Ability to communicate data issues clearly to both technical and nontechnical stakeholders.
Eligible partners will receive:
  • Get not one, but TWO retirement benefits. When you join our employee-owned company, you'll be part of our Employee Stock Ownership Plan (ESOP) from day one. In addition to an 8% 401(k) match into the ESOP, Schreiber will contribute an extra amount - about 8% of your earnings - toward your retirement every year. That's a company contribution of around 16% in retirement savings annually. That's hard to beat!

  • Earn bonus pay. You'll have an opportunity to earn incentive pay twice a year when we meet our company goals.

  • Ready to make a move? Receive a $10,000 relocation bonus PLUS a generous relocation package if relocating more than 50 miles for a U.S. Salaried position.

  • Childcare costs. Get up to $5,000 annually to help you with the cost of childcare. Monthly contributions toward childcare expenses, including independent babysitters.

  • Earn extra money for taking care of yourself. Eligible partners can earn a Wellness Incentive and receive an employerfunded Lifestyle Spending Account (LSA) to use on fitness, mental health, and other lifestyle expenses.

  • Pursue development that's relevant to your role, career goals and the company. Plus, we offer tuition reimbursement if you want to further your education to grow in your role at Schreiber.

  • Get access to medical, prescription drug, dental and vision benefits starting day one. This includes an onsite nurse and mental health counselor.

  • Experience caring like you've never experienced it before. We have a program that's completely organized by and for other partners who need extra help. It's called Partners Helping Partners. We have hundreds of examples of partners organizing fundraisers to help out others going through a hard time.

  • Benefits that support your whole life. Visit Schreiber - Care for you to see everything Schreiber offers to support your health, wellbeing, and financial future.

For positions that require any amount of travel: Valid driver's license, auto insurance (at least state minimum- more might be required), acceptable driving record per Schreiber Foods discretion, and vehicle that will ensure applicant can meet the travel necessities of the position are required.

Schreiber requires that an employee have authorization to work in the country in which the role is based. In the event, an applicant does not have current work authorization, Schreiber will determine, in its sole discretion, whether to sponsor an individual for work authorization. However, based on immigration requirements, not all roles are suitable for sponsorship.

An Equal Opportunity Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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