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Internship Credit Risk Modeling Jobs in Indiana (NOW HIRING)

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 · On-site

Review and approve credit applications in accordance with company policies and risk tolerance ... Contribute to process improvements in credit policies, procedures, and scoring models. * Support ...

smcnorthamerica

Credit Analyst

Noblesville, IN

Review and approve credit applications in accordance with company policies and risk tolerance ... Contribute to process improvements in credit policies, procedures, and scoring models. * Support ...

TEGNA Inc.

Credit Specialist

Indianapolis, IN · On-site

... risk models. • Interface with stations and sales personnel in various markets to provide support and feedback on credit worth and risk management, recommends credit terms and conditions as needed ...

TEGNA

Credit Specialist

Indianapolis, IN · On-site

... risk models. • Interface with stations and sales personnel in various markets to provide support and feedback on credit worth and risk management, recommends credit terms and conditions as needed ...

Northwest

C&I Credit Analyst II or III

Fishers, IN · Hybrid

$61K - $110K/yr

Utilize risk rating models to accurately determine risk ratings for credit requests. * Prioritize assignments with guidance from the Commercial Credit Managers. * Evaluate the financial condition of ...

Northwest

Portfolio Manager II or III

Fishers, IN · On-site +1

$61K - $110K/yr

... business model and industry trends in order to effectively evaluate sources of repayment and accurately assign risk rating. * Collect and review all pertinent credit and financial information ...

Fifth Third Bank

Senior Credit Analyst

Indianapolis, IN · On-site

The Senior Credit Analyst demonstrates extensive knowledge of financial and risk analysis and expertise in financial modeling. The Senior Credit Analyst demonstrates proficiency in underwriting, with ...

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Internship Credit Risk Modeling information

What is an internship in credit risk modeling?

An Internship in Credit Risk Modeling is a temporary position, usually for students or recent graduates, where you work with financial institutions to understand and help develop models that predict the likelihood of borrowers defaulting on loans. Interns typically assist in analyzing data, building statistical models, and supporting risk assessment processes. This role provides hands-on experience with financial data, programming, and model validation, making it valuable for those interested in finance, statistics, or data science. It also offers exposure to regulatory requirements and real-world risk management practices.

What types of projects or tasks can I expect to work on during an internship in credit risk modeling?

As an intern in Credit Risk Modeling, you'll typically assist with statistical analysis, data preparation, and validation of risk models used by the organization to evaluate creditworthiness. You may support senior analysts in building or refining predictive models using programming languages like Python or R, and work with large datasets to uncover trends in borrower behavior. Interns often collaborate with risk analysts, data scientists, and IT teams, gaining exposure to both technical and business perspectives. This hands-on experience helps build a solid foundation for a future career in quantitative finance or risk management.

What are the key skills and qualifications needed to thrive as an internship in credit risk modeling, and why are they important?

To thrive as an Internship Credit Risk Modeling, you generally need strong quantitative and analytical skills, a background in finance, statistics, or a related field, and familiarity with risk concepts. Experience with statistical programming languages such as Python, R, or SAS, and proficiency in Excel or SQL, are commonly required, and relevant coursework or certifications in risk management or data analysis are advantageous. Attention to detail, critical thinking, and effective communication help interns stand out when interpreting data and presenting risk findings. These skills are important to ensure accurate risk assessments, support data-driven decision-making, and facilitate collaboration within financial institutions.

What is the difference between Internship Credit Risk Modeling vs Credit Risk Analyst?

AspectInternship Credit Risk ModelingCredit Risk Analyst
CredentialsTypically pursuing or recent graduate, some familiarity with finance or statisticsBachelor's degree in finance, economics, or related field; often requires some experience
Work EnvironmentInternship setting, supervised, project-basedFull-time, professional environment, more independent responsibilities
Industry UsageEntry-level, educational focus, training periodCore role in financial institutions, ongoing risk assessment

Internship Credit Risk Modeling positions are designed for students or recent graduates gaining initial experience, often with supervised tasks. Credit Risk Analysts are experienced professionals responsible for ongoing risk evaluation, requiring more advanced skills and independence. The internship serves as a training ground, while the analyst role involves continuous risk management in financial institutions.

What are the most commonly searched types of Credit Risk Modeling jobs in Indiana?

The most popular types of Credit Risk Modeling jobs in Indiana are:

What cities in Indiana are hiring for Internship Credit Risk Modeling jobs?

Cities in Indiana with the most Internship Credit Risk Modeling job openings:

Internship Credit Risk Modeling jobs near you

Credit Risk Manager/Senior Analyst

Domestic, IN • Remote

Thrive Financial, LLC
Finance and Insurance • 1 - 10 employees
Learn more about Thrive Financial, LLCexternal

Full-time

Re-posted 14 days ago

Job description

At Thrive Financial, Credit Risk Managers/Analysts have the opportunity to shape business outcomes through actionable, data-driven insights as the company is in high growth mode. This role is for someone who is able to apply analytics in an environment of ambiguity and incomplete ownership and loves working cross functionally.  You are a data nerd who is passionate about leveraging AI and automation for analytics, a relationship builder, and you know how to weigh risk against opportunity.  This role will be foundational in continuing to optimize the Thrive credit policy.
You have the right background if you

  • Have three or more years working in a lending analytics roles with at least two years spent working in a risk environment where the consumer credit risk isn't the whole story

  • Have earned increased responsibility or promotions through performance, not tenure

  • Have worked in an early-stage company (or equivalent environment) where structure was minimal and initiative mattered, or can clearly demonstrate that you've succeeded without heavy process or support

  • Are comfortable wearing multiple hats today, with an eye toward building and leading a team in the future

  • You are a SQL and/or Python wizard

  • Are passionate about leveraging AI and automation to build lean and scalable risk analytics programs

How you approach the role

  • You are hands-on by default - excited to dive into consumer data, solve real problems, and deliver tangible value

  • You naturally look for patterns and gaps, and feel compelled to create structure where none exists

  • You balance empathy and accountability, building trust while driving outcomes

  • You are energized by growth (both personal and organizational) and want to level up into people leadership over time

What You Will Do

  • Build out analytics and procedures to monitor credit performance and uncover opportunities to protect Thrive's bottom line 

  • Produce reporting and dashboards that effectively communicate credit risk trends to a variety of stakeholders

  • Monitor and enhance credit underwriting models 

  • Update loss forecasting estimates and analyze portfolio profitability

  • Identify improvements for more efficient customer underwriting to reduce friction while maintaining decision integrity 

  • Leverage automation and AI to drive more insights with less overhead

Why This Role

  • High-impact opportunity to shape risk strategy at an early stage - you are here to take us from 10 to 100 

  • Path to expanded scope and people leadership as the company scales

  • Mission-driven fintech focused on enabling responsible, accessible financing

  • Fully remote, highly collaborative environment with room to grow

At Thrive, our best teammates embody GRIT:
Get things done You are self-directed, proactive, and biased toward action. You don't wait for perfect conditions to move forward.
Respect each other You lead with humility and empathy - whether working with contractors, teammates, or leadership.
Intellectual curiosity You ask thoughtful questions, seek context, and enjoy learning new industries, products, and customer needs in order to make practical, informed decisions.
Teamwork You believe the best results come from shared ownership, open communication, and learning together.
 
As a Credit Risk Manager/Senior Analyst, you also bring:
Trustworthiness You prioritize long-term relationships, follow through on commitments, and ensure alignment across stakeholders.
Collaboration You actively invite diverse perspectives and use them to arrive at better solutions - for customers and for the business.
Stewardship You approach your work with a servant mindset, focused on supporting contractors, teammates, and the broader mission of responsible financial access.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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