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Credit Risk Data Science Jobs in Ohio (NOW HIRING)

KeyBank

Quantitative Credit Data Analyst

Cleveland, OH · On-site

... Science, Data and Business Analytics or other quantitative fields of study or relevant experience. * 3+ years of experience in credit risk, portfolio management, quantitative analytics, banking ...

Fifth Third Bank

Credit Risk Officer II

Cincinnati, OH · On-site

Using both internal and external data to identify portfolio trends such as increasing concentration ... Credit Risk Officer II Total Base Pay Range 121,900.00 - 262,100.00 USD Annual At Fifth Third, we ...

Fifth Third

Credit Risk Officer II

Cincinnati, OH

Using both internal and external data to identify portfolio trends such as increasing concentration ... Credit Risk Officer II Total Base Pay Range 121,900.00 - 262,100.00 USD Annual At Fifth Third, we ...

Medpace, Inc.

Credit and Risk Manager

Cincinnati, OH · On-site +1

Ability to access and query a multitude of databases and create and maintain data sets as ... Work alongside physicians, scientists, and industry-leading experts committed to advancing the ...

Medpace, Inc.

Credit and Risk Manager

Cincinnati, OH · On-site

Ability to access and query a multitude of databases and create and maintain data sets as ... Work alongside physicians, scientists, and industry-leading experts committed to advancing the ...

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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 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.
What are popular job titles related to Credit Risk Data Science jobs in Ohio? For Credit Risk Data Science jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Ohio look for? The top searched job categories for Credit Risk Data Science jobs in Ohio are:
What cities in Ohio are hiring for Credit Risk Data Science jobs? Cities in Ohio with the most Credit Risk Data Science job openings:
Credit Risk Data Science jobs near you

Quantitative Credit Data Analyst

KeyBank

Cleveland, OH • On-site

Full-time

Posted 20 days ago

KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

52nd of 170 rated banks

Job description

Location:
127 Public Square, Cleveland Ohio
JOB BRIEF (PURPOSE)
Credit Portfolio Management (CPM) is Credit Risk's centralized analytics area, partnering with key stakeholders throughout the Bank to strengthen Credit decision-making, portfolio risk management, and strategic planning. This role is responsible for leading quantitative analysis and portfolio research efforts, developing insights from internal and external data, and communicating actionable recommendations to senior leaders regarding emerging risks, portfolio performance, industry trends, and credit migration dynamics.
ESSENTIAL JOB FUNCTIONS
  • Lead quantitative analysis of portfolio performance, risk concentrations, emerging risks, and credit migration trends across Key's commercial credit portfolios.
  • Develop insights and recommendations through analysis of internal and external data sources, including portfolio performance data, economic indicators, industry trends, and peer benchmarking.
  • Lead efforts to advance CPM's analytical capabilities through continuous improvement initiatives, including the annual recalibration of portfolio tolerances, limits, and related monitoring frameworks.
  • Partner with Treasury, Finance, Credit Risk, and Line of Business stakeholders to support portfolio management, strategic planning, and risk management objectives.
  • Proactively identify opportunities to improve analytical processes, reporting capabilities, data quality, automation, and overall efficiency.
  • Develop and maintain analytical reporting, dashboards, and monitoring tools that support portfolio management, risk oversight, and executive decision-making.
  • Present analytical findings, portfolio assessments, and risk insights to business partners and senior leadership in a clear and actionable manner.

MARGINAL OR PERIPHERAL FUNCTIONS
  • Perform additional duties or project work as assigned.

REQUIRED QUALIFICATIONS
  • Bachelor's degree in Mathematics, Statistics, Data Science, Engineering, Finance, Economics, Computer Science, Data and Business Analytics or other quantitative fields of study or relevant experience.
  • 3+ years of experience in credit risk, portfolio management, quantitative analytics, banking, financial services, or a related discipline.
  • Strong analytical and problem-solving skills with the ability to synthesize large and complex datasets, quantify business impacts, and develop actionable insights supporting strategic, risk management, and portfolio management decisions.
  • Experience utilizing SQL and/or analytical programming languages (Python, SAS, R, or equivalent) to query, analyze, and transform data.
  • Experience developing data visualizations, dashboards, and analytical reporting using Tableau, Power BI, or similar tools.
  • Strong written and verbal communication skills with the ability to present analytical findings and recommendations to business partners and senior leadership.
  • Demonstrated attention to detail, intellectual curiosity, and the ability to manage multiple priorities while maintaining high standards of accuracy.
  • Advanced proficiency with Microsoft Excel and PowerPoint.
  • Knowledge of database concepts, data extraction techniques, process automation, and quantitative analytical methods.
  • Support the development of analysts and less experienced team members through collaboration, coaching, and knowledge sharing.

PREFERRED QUALIFICATIONS
  • Experience in commercial banking, credit risk management, portfolio analytics, risk reporting, or financial services.
  • Experience utilizing cloud-based analytical platforms, data warehouses, and modern data pipeline architectures.
  • Experience supporting portfolio risk monitoring, concentration management, risk governance, or executive-level reporting.
  • Knowledge of credit migration analysis, portfolio performance measurement, peer benchmarking, early warning indicators, industry risk assessment methodologies, or quantitative modeling techniques.

COMPETENCIES/SKILLS
  • Communication: Ability to communicate complex analytical concepts and portfolio insights clearly and effectively to both technical and non-technical audiences. Strong written, verbal, and presentation skills with the ability to develop executive-level materials and deliver actionable recommendations.
  • Partnering / Influencing: Builds strong relationships across Credit Risk, Treasury, Finance, and Line of Business partners. Effectively collaborates across teams, challenges assumptions constructively, and influences decision-making through data-driven insights and recommendations.
  • Business Acumen: Demonstrates a strong understanding of banking, credit risk, portfolio management, and financial performance drivers. Applies business knowledge to translate analytical findings into meaningful strategic and risk management insights.
  • Critical Thinking / Problem Solving: Applies analytical rigor and sound judgment to evaluate complex business problems, identify emerging risks, and develop practical solutions. Able to independently formulate hypotheses, assess alternatives, and recommend appropriate courses of action.
  • Results Orientation: Effectively manages multiple priorities while maintaining high standards of quality and accuracy. Demonstrates accountability for outcomes, proactively identifies obstacles, and drives initiatives to completion within established timelines.
  • Initiative & Continuous Improvement: Demonstrates ownership of analytical processes and outcomes. Proactively identifies opportunities to improve methodologies, reporting, automation, and business processes while driving solutions to completion.

COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $71,000.00 - $125,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 08/09/2026KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
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About KeyBank

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Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849

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