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Credit Risk Data Science Jobs in Indiana (NOW HIRING)

Credit Specialist

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Credit Specialist

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Data Scientist Senior

Indianapolis, IN · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct competitive analysis of risk stratification models and makes recommendations to management ... Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics ...

Data Scientist Senior

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct competitive analysis of risk stratification models and makes recommendations to management ... Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics ...

Credit Analyst II or III will be determined based on the candidates knowledge and experience ... Effectively analyze financial statements and related data, industry risk, loan structure and market ...

Data Scientist Senior

Indianapolis, IN · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct competitive analysis of risk stratification models and makes recommendations to management ... Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics ...

Portfolio Manager II or III

Fishers, IN · On-site +1

$61K - $110K/yr

... Credit Risk, the Underwriting Team and Special Assets to ensure necessary credit approvals are obtained and appropriately documented and loan operating system reflects accurate commercial loan data.

CRE Portfolio Manager II or III

Fishers, IN · On-site +1

$61K - $110K/yr

... Credit Risk, the Underwriting Team and Special Assets to ensure necessary credit approvals are obtained and appropriately documented and loan operating system reflects accurate commercial loan data.

Showing results 21-40

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 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:

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.

Expert Data Scientist

F. Hoffmann-La Roche AG

Indianapolis, IN • On-site

$129 - $240/hr

Other

This job post has expired 4 days ago. Applications are no longer accepted.


Job description

## Expert Data ScientistCandidatar-selocations: Indianapolistime type: Tempo integralposted on: Publicado hojetime left to apply: Data de término: 18 de agosto de 2026 (5 dias restantes para se candidatar)job requisition id: 202608-120592At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.### ### The Position**The Opportunity**As a Data Scientist, you will position data science as a key competency within the enterprise and be responsible for creating value from data assets using advanced analytics capabilities 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 progress through the data maturity model using data science methods and principles to generate deeper insights from a great variety of internal and external data sources. To achieve this, you will identify needs, lead the design and implementation of analytical solutions, provide advice and consulting support to our key business stakeholders and demonstrate value by executing proof-of-concept initiatives and prototyping analytical solutions to answer business questions.You have an overall understanding of the key challenges in our industry. You have experience in the areas of analytics, data transformation, and data science. You are passionate about applying state-of-the-art analytical methods, as well as cutting edge machine learning algorithms to find solutions to complex business problems. Key Responsibilities: * Identify high-impact data science use cases, develop and implement innovative solutions to drive business impact and develop state-of-the-art analytical capabilities to address identified needs.* Evaluate, drive and implement solutions from concept to minimum viable product and final product.* Apply analytical and statistical methods to solve identified use cases in an agile manner using multiple data sources and analytical tools.* Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making.* Interpret and communicate analytics results clearly and concisely to audiences with varying backgrounds and degrees of technical understanding.* Take an enterprise mindset, linking individual responsibilities with the broader organization; focus on outcomes that provide most business value.* Partner with data science experts around the world within Roche to share best-in-class solutions and drive collaborative approaches towards data science challenges.**Who You Are*** You have a Bachelor’s degree in Computer Science, Statistics, Bioinformatics, Mathematics or equivalent field.* Master’s or PhD degree in Computer Science, Statistics, Bioinformatics, Mathematics or equivalent preferred.* You have at least 5 years of commercial/industry experience, working in a hands-on capacity.* Experience with Statistics, Data Mining, Machine Learning, Data Visualization, Cloud Computing, and Distributed Systems.* Hands-on programming experience (Python, R, etc) along with a solid understanding of statistical and machine learning models. You have experience in implementing statistical learning methods or deep learning frameworks to solve problems.* Ability to work independently, prioritize within an interdisciplinary environment that includes (data) scientists, analysts, business stakeholders and consultants.* Experience with Agile development methods including Scrum and Kanban preferred.* Experience with AWS environments preferred.* Excellent communication and effective problem-solving skills; track record in serving a variety of diverse customers and projects.* Willingness to guide and inspire business stakeholders, data scientists and other colleagues along the journey into the world of data science.The expected salary range for this position based on the primary location of Indiana is $129,300 - $240,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.***Benefits*****Relocation benefits are not available for this job posting.**### Who we areA healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.Let’s build a healthier future, together.Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. #J-18808-Ljbffr