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Credit Risk Data Science Jobs in Indiana (NOW HIRING)

Old National Bank

Credit Data Steward

Evansville, IN · On-site

$121K/yr

The Credit Data Steward acts as the liaison between business stakeholders, technology teams, risk partners, and data governance functions to establish data standards, resolve data quality issues ...

Old National Bank

Credit Data Steward

Evansville, IN · On-site

$121K/yr

The Credit Data Steward acts as the liaison between business stakeholders, technology teams, risk partners, and data governance functions to establish data standards, resolve data quality issues ...

TEGNA Inc.

Credit Specialist

Indianapolis, IN · Remote

Partner with other business units to improve the quality of the data being used in the credit risk models. Interface with stations and sales personnel in various markets to provide support and ...

smcnorthamerica

Credit Analyst

Noblesville, IN

Review and approve credit applications in accordance with company policies and risk tolerance ... Support month-end and year-end closing processes by providing accurate accounts receivable data and ...

smcnorthamerica

Credit Analyst

Noblesville, IN · On-site

Review and approve credit applications in accordance with company policies and risk tolerance ... Support month-end and year-end closing processes by providing accurate accounts receivable data and ...

CSAA

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 ...

SMC Corporation of America

Be Seen First

Credit Analyst

Noblesville, IN · On-site

Degree in accounting, business or related field. * 2-4 years experience credit risk; accounting (payables/receivables). * Strong communication skills. * Strong computer skills. * Reporting and data ...

Roche

Expert Data Scientist

Indianapolis, IN

$129K - $240K/yr

... including data science, machine learning, and artificial intelligence methodologies to identify critical business risk and opportunities for Roche. You will help Roche Diagnostics continue to ...

Roche Holding AG

Expert Data Scientist

Indianapolis, IN · On-site

$129 - $240/hr

... including data science, machine learning, and artificial intelligence methodologies to identify critical business risk and opportunities for Roche. You will help Roche Diagnostics continue 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 Indiana?

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

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

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

What cities in Indiana are hiring for Credit Risk Data Science jobs?

Cities in Indiana with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in Indiana as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Credit Data Steward

Old National Bank

Evansville, IN • On-site

$121K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago

Old National Bank rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

51st of 171 rated banks

Job description

Overview
Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving.
We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.
Responsibilities
The Credit Data Steward serves as the business owner and governance lead for critical credit and lending data assets across the bank. This role is responsible for ensuring the accuracy, completeness, consistency, timeliness, and regulatory compliance of credit-related data used throughout organization.
The Credit Data Steward acts as the liaison between business stakeholders, technology teams, risk partners, and data governance functions to establish data standards, resolve data quality issues, support regulatory requirements, and enable trusted data for credit decisioning, portfolio management, and risk reporting.
We are in office culture with office locations in Minneapolos/St Paul, Madison WI, Milwaukee WI Huron Building, 8750 West Bryn Mawr Chicago IL near Rosemont, Grand Rapids MI, Ann Arbor MI, Indianapolis, Evansville IN, Louisville West Market, and Nashville Gulch.
Salary Range
The salary range for this position is $60,000/yr - $121,300/yr plus bonus. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidate's relevant skills and professional experience, educational qualifications, and geographic location.
Key Accountabilities
Credit Data Governance
  • Serve as the designated steward for critical credit and lending data domains.
  • Define and maintain business metadata, data definitions, business rules, and data quality standards.
  • Establish ownership and accountability for critical credit data elements.
  • Lead governance activities related to, but not limited to, borrower, guarantor, collateral, facility, exposure, risk rating, covenant, and loan performance data.
  • Participate in enterprise data governance councils and risk management committees.

Data Quality Management
  • Develop and maintain Key Data Quality Indicators (DQIs) and monitoring processes.
  • Identify, analyze, prioritize, and remediate data quality issues.
  • Perform root cause analysis of recurring data defects.
  • Partner with technology teams to implement sustainable data quality controls.
  • Monitor and report data quality performance metrics to senior leadership.

Regulatory and Risk Compliance
  • Support compliance with regulatory expectations
  • Ensure critical credit risk data is traceable, governed, and defensible.

Data Lineage and Metadata Management
  • Document end-to-end data lineage from source systems through reporting and analytics environments.
  • Maintain business glossaries and data dictionaries.
  • Validate data transformations and business logic across systems.
  • Support implementation and maintenance of metadata management platforms.

Business Partnership
  • Collaborate with multiple departments across the organization
  • Translate business requirements into data governance and data quality solutions.
  • Facilitate issue resolution across multiple business units.

Project and Change Management
  • Participate in lending system conversions and modernization initiatives.
  • Evaluate data impacts of new products, regulatory requirements, and business processes.
  • Define governance requirements for new data sources and applications.
  • Support enterprise data strategy initiatives.

Reporting and Analytics Support
  • Ensure data supports accurate regulatory reports, credit risk reporting, portfolio management reporting, concentration monitoring and commercial loan analytics

Key Competencies for Position
Promotes Change - Seeks to understand and embrace change.
  • Actively seeks, information to understand the rationale, implications and impact for changes.
  • Remains agile by quickly modifying daily behavior, leveraging resources, and trying new approaches to effectively embrace change.
  • Willing to act quickly, learn and adjust as needed.
  • Identifies and recommends changes to leadership to improve performance.

Compelling Communication - Openly and effectively communicates with others.
  • Effectively and transparently shares information and ideas with others.
  • Tailors the delivery of communication in a way that engages the audience and that is easy to understand and retain.
  • Unites others towards common goal.
  • Asks for others' opinions and ideas and listens actively to gain their support when clarifying expectations, agreeing on a solution and checking for satisfaction.

Makes Decisions & Solves Problems - Seeks deeper understanding and takes action.
  • Takes ownership of the problem while collaborating with others on a resolution with an appropriate level of urgency.
  • Collaborates and seeks to understand the root causes of problems.
  • Evaluates the implications of new information or events and recommends solutions using decisions that are sound based on what is known at the time.
  • Takes action that is consistent with available facts, constraints and probable consequences.

Qualifications and Education Requirements
  • Bachelor's degree in Finance, Economics, Accounting, Information Systems, Data Management, Business Administration or a related field required.
  • 7-12+ years of experience in data management, and data governance frameworks.
  • 5+ years of experience working with commercial credit or corporate banking data is highly preferred.
  • Experience supporting regulatory reporting, credit risk analytics, or data governance programs.
  • Demonstrated experience managing enterprise-wide data quality initiatives.
  • Prefer a strong understanding of Commercial lending operations, Credit underwriting processes, Loan accounting systems, Credit risk rating methodologies, CECL methodologies, Regulatory reporting requirements, Commercial loan lifecycle management.
  • Experience with tools such as Power BI, SQL, Databricks and Microsoft Office applications

Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles.
As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law.
We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position.
Our culture is firmly rooted in our core values.
We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical.
We are Old National Bank. Join our team!

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