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Credit Risk Data Science Jobs in Wisconsin (NOW HIRING)

Innovizant LLC

Data Scientist

Madison, WI

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 LLC

Data Scientist

Madison, WI · On-site

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 ...

Kforce Technology Staffing

Credit Analyst

Milwaukee, WI · On-site

Contribute to process improvements, reporting, and use of data analytics REQUIREMENTS: * 5 to 8 years of credit analysis or financial risk experience * Experience in energy, utilities, construction ...

The Park Bank

SVP Credit Administration

Madison, WI · Hybrid

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 ...

Park Bank

SVP Credit Administration

Madison, WI · On-site

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 ...

Werner Electric Supply

Credit Manager

Appleton, WI · On-site

Evaluate customer financial statements, credit reports, and industry data to assess creditworthiness * Monitor credit exposure and identify emerging risk trends; recommend corrective actions to ...

BANK OF LUXEMBURG

Credit Analyst

WI · On-site

$27.93 - $34.23/hr

You'll review financial information, evaluate credit risk, and prepare reports that guide lending ... Comfort working with numbers, financial data, and Microsoft Excel * Clear and confident ...

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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
Data Scientist

Data Scientist

Innovizant LLC

Madison, WI

Full-time

Re-posted 29 days ago

Job description

Company Description

Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals.
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, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics.

Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default)

With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events.
Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns.

Job Description

Role: Data Scientist

Location: Madison, WI

Full Time (Direct Hire)

Job description

         5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science.

         Experience in Statistical modeling.

         Candidate will be helping the client to lead this process or improve upon the program.

         Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing.

         Extremely efficient in Python and R.

         Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must.

         Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge.

         MS in AI/Data Science would also be a plus.

Qualifications

Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning

Additional Information

Thanks & Regards,

Aditya Prakash | Resource Manager | Innovizant LLC

Phone : 630-685-1260

aditya.prakash(AT)innovizant(DOT)com

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