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Credit Risk Data Science Jobs in Wisconsin (NOW HIRING)

Fiserv, Inc.

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 ...

UW Credit Union

Senior Credit Analyst

Madison, WI · On-site

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 ...

UW Credit Union

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 ...

Springs Window Fashions

Credit Supervisor

Middleton, WI · On-site

This role balances customer service with risk mitigation, oversees credit and deduction specialists ... Ability to analyze data, identify trends, and make sound decisions under pressure. * Advanced Excel ...

UW Credit Union

Senior Credit Analyst

Madison, WI

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 ...

Springs Window Fashions

Credit Supervisor

Middleton, WI · On-site

This role balances customer service with risk mitigation, oversees credit and deduction specialists ... Ability to analyze data, identify trends, and make sound decisions under pressure. * Advanced Excel ...

Royal Credit Union

Collections Supervisor

Eau Claire, WI · On-site

$75K - $86K/yr

Do you have a passion for leadership and a strong background in collections and credit risk ... data-driven improvements * Effective communication and relationship-building skills, with the ...

Exponent

Director/Vice President, Credit

Milwaukee, WI · On-site

$180K - $215K/yr

... and risk strategy. * Mentorship opportunity: Coach and develop a team of junior credit ... If you would like more information about how your data is processed, please contact us.

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Credit Risk Data Science information

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 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:
Credit Risk Data Science jobs near you
AVP Enterprise Artificial Intelligence and Intelligent Automation

AVP Enterprise Artificial Intelligence and Intelligent Automation

CoVantage Credit Union

De Pere, WI • On-site

Full-time

Posted 28 days ago

CoVantage Credit Union rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Looking to lead the next evolution of AI and automation?

CoVantage Credit Union is seeking an Assistant Vice President of Enterprise Artificial Intelligence and Intelligent Automation to define, lead, and advance our enterprise AI vision. This individual will work closely with enterprise architecture, information security, data teams, and business stakeholders to deliver practical, secure, and scalable AI and automation solutions aligned with the credit union’s long-term strategy. The role has a strong focus on responsible AI, generative AI, and intelligent automation, with an emphasis on establishing governance, driving measurable business outcomes, and enhancing both employee and member experiences. This leader will play a critical role in identifying high-value use cases, modernizing processes, and building the foundation for sustainable AI adoption across the organization.

As a CoVantage team member, you’ll receive a 401k employer match of up to 200%, a bonus of annual salary up to 10%, a generous employer HSA contribution, and paid time off for community service.

Job Duties

  • Establish and lead CoVantage’s enterprise AI vision, operating model, and roadmap, aligning initiatives with business strategy and the Enterprise Architecture Framework
  • Identify high-value AI and intelligent automation use cases that deliver measurable efficiency, scalability, risk reduction, and improvements to employee and member experiences
  • Design and lead proofs-of-concept and pilots to validate feasibility and business value, then transition successful initiatives into operationalized solutions
  • Establish and enforce AI governance, including responsible AI principles, data usage controls, model lifecycle management, and vendor oversight
  • Evaluate and size AI opportunities, providing clear guidance on feasibility, risk, scope, and timelines while balancing innovation with regulatory and enterprise risk
  • Partner with Enterprise Architecture, Information Security, Data, Risk, Compliance, Legal, and business units to define AI standards, reference patterns, and solution designs
  • Build and develop a high-performing AI and automation function, and translate complex AI concepts into clear, actionable plans for executive, technical, and business audiences

      Qualifications

      • Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field (or equivalent professional experience); advanced education in AI, data, technology, or business preferred
      • 10+ years of progressive experience in technology leadership, architecture, data, analytics, or automation, including leading enterprise-scale initiatives
      • Strong understanding of AI, automation technologies, analytics platforms, enterprise systems, and familiarity with enterprise architecture, data governance, and security principles
      • Knowledge of responsible AI practices, model risk, and regulatory considerations, with experience in regulated industries preferred
      • Exceptional leadership, communication, and strategic thinking skills, with the ability to translate complex concepts, lead cross-functional initiatives, and drive execution in a dynamic environment
      • Must be bondable

      Depending on qualifications and experience of applicants, CoVantage may elect to modify this position, including pay and/or title, without reposting the opportunity.

      What CoVantage Credit Union employees say

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