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Credit Risk Data Science Jobs in Wisconsin (NOW HIRING)

$140K - $239K/yr

Partner with Data Science/Analytics to develop and validate credit scoring models, machine-learning underwriting tools, and early-warning indicators. * Set and manage credit risk appetite, exposure ...

We are seeking an exempt-level Credit Risk Analyst to utilize a combination of analytical skills ... In addition, we are looking for: • 2+ years' statistical data analysis experience • A solid ...

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 ...

Credit Risk Intern About the Role As Credit Risk Analyst II Intern, you will conduct ad-hoc ... Data Science * Computer Science * Business with an emphasis in Analytics * Economics Essential ...

WI · On-site

Provide comprehensive support for Credit Risk Management by performing and overseeing various functions, including line facilitation/maintenance, client data management, limit breach monitoring and ...

## 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 ...

WI · On-site

Job summary As a Credit Support Analyst in Wholesale Lending Services , you partner with Credit Risk and Operations teams to set up and maintain credit facilities, manage client reference data, and ...

WI · On-site

$200 - $250/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 ...

WI · On-site

Drive IFRS 9 credit risk management by delivering accurate ECL calculations, robust models, and high-quality data to ensure reliable provisioning and regulatory compliance. * Provide actionable ...

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 ...

WI · On-site

As a Liquidity Risk Reporting Vice President in the Corporate Treasury Middle Office (CTMO), part ... Bachelor's degree required; advanced degree in Finance, Data Science, Computer Science, or related ...

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 ...

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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 September 2026, with employment types broken down into 63% Full Time, 12% Part Time, and 25% Contract. Highlights an 90% In-person, and 10% Hybrid job distribution.

Senior Director, Credit Risk Management

On-site

RealPage, Inc.
Software Development • 5 - 10K employees

$140K - $239K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Key responsibilities

  • Own the end-to-end credit risk strategy for the company's payments and fintech portfolio, including underwriting, exposure limits, reserve requirements, and loss forecasting.

  • Design, implement, and refine credit risk policies, scorecards, and underwriting models to balance risk and revenue goals.

  • Monitor portfolio performance and identify emerging risk trends across merchant segments, verticals, and payment products.


RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Overview

We are seeking an experienced Senior Director of Credit Risk Management to lead the credit risk function for our payments and fintech platform. This role owns the strategy, policies, and infrastructure that manage counterparty, merchant, and transactional credit exposure across our payment products — including merchantacquiring, lending, and embedded finance offerings. The ideal candidate combines deep quantitative credit riskexpertisewith hands-on leadership of underwriting, portfolio monitoring, and loss mitigation teams, and partners closely with Product, Data Science, Finance, Compliance, and Operations to balance growth with prudent risk management.

Responsibilities
  • Own the end-to-end credit risk strategy for the company's payments and fintech portfolio, including merchant/counterparty underwriting, exposure limits, reserve requirements, and loss forecasting.
  • Design, implement, and continuously refine credit risk policies, scorecards, and underwriting models to balance risk appetite with revenue and conversion goals.
  • Build and lead a high-performing team of credit risk managers and analysts; set goals, coach performance, and develop talent.
  • Monitor portfolio performance (delinquency, chargebacks, default rates, loss ratios) and proactively identify emerging risk trends across merchant segments, verticals, and payment products.
  • Partner with Data Science/Analytics to develop and validate credit scoring models, machine-learning underwriting tools, and early-warning indicators.
  • Set and manage credit risk appetite, exposure limits, and reserve/collateral policies in partnership with Finance and Treasury.
  • Lead loss mitigation, collections strategy, and workout processes for delinquent or high-risk accounts.
  • Present credit risk metrics, portfolio health, and key decisions to executive leadership, Risk Committee, and the Board as needed.
  • Ensure credit risk practices comply with applicable regulatory requirements (e.g., card network rules, BSA/AML-adjacent controls, state lending regulations) in partnership with Legal and Compliance.
  • Own credit risk components of due diligence for new products, partnerships, and market expansion, including BNPL, embedded lending, and merchant cash advance offerings.
  • Drive automation and scalability of credit underwriting and monitoring processes to support rapid business growth.
  • Manage relationships with external data providers, bureaus, and risk technology vendors.
Qualifications
  • 12+ years of progressive experiencein credit risk management, with at least5–7years in a senior leadership role; payments, fintech, card issuing/acquiring, or commercial lending background strongly preferred.
  • Bachelor's degree in Finance, Economics, Statistics, or related field required; MBA or advanced quantitative degree a plus.

KNOWLEDGE/SKILLS/ABILITIES

  • Proven experience building or scaling a credit risk function, including underwriting frameworks, portfolio monitoring, and lossmitigation at a high-growth or transaction-volume business.
  • Strong quantitative background: experience with credit scoring models, statistical/ML-based underwriting, and portfolio risk analytics.
  • Track record of managing exposure and losses across a merchant or borrower portfolio, including chargeback/dispute risk, fraud-adjacent losses, and counterparty default.
  • Deep understanding of payments ecosystem dynamics (card networks, ACH, merchant acquiring, or lending) and related regulatory frameworks.
  • Demonstrated people leadership: hiring, developing, and managing credit risk or underwriting teams.
  • Excellent executive communication skills, with experience presenting to senior leadership, Risk Committees, or Boards.
  • Experience with SQL, Python, R, or similar tools for risk analytics preferred.
SALARY AND BENEFITS

RealPage provides a competitive salary package along with a comprehensive benefit plan that includes:

  • Health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Paid time off and holidays.
  • Professional development opportunities.
  • Performance-based bonus based on position.

#LI-AS2

#LI-REMOTE

Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance.Equal Opportunity Employer: RealPage Company is an equal opportunity employer and committed to creating an inclusive environment for all employees.

Pay Range

USD $140,600.00 - USD $239,400.00 /Yr.

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