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Credit Risk Data Science 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

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

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 ...

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 ...

TEGNA

Credit Specialist

Indianapolis, IN

... the data being used in the credit risk models. • Interface with stations and sales personnel in various markets to provide support and feedback on credit worth and risk management, recommends ...

TEGNA Inc.

Credit Specialist

Indianapolis, IN · On-site

... the data being used in the credit risk models. • Interface with stations and sales personnel in various markets to provide support and feedback on credit worth and risk management, recommends ...

Trusting Social & Kompato AI

System Administrator

IN · On-site

About Us Trusting Social is an AI fin-tech dedicated to advancing data science and technology to promote financial inclusion for all. We provide AI-powered credit risk, identity, and acquisition ...

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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 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:
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Credit Risk Data Science jobs near you
Credit Risk Manager/Senior Analyst

Credit Risk Manager/Senior Analyst

Thrive Financial, Inc

Domestic, IN • Remote

Full-time

Posted 6 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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