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Hourly Credit Risk Modeling Jobs in Ohio (NOW HIRING)

Familiarity with consumer credit models, scorecards, or risk-based pricing frameworks. * Advanced proficiency in Excel and experience with portfolio reporting or analytics tools. * Bachelor's degree ...

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Hourly Credit Risk Modeling information

What is hourly credit risk modeling?

Hourly credit risk modeling is the process of assessing and predicting the likelihood of a borrower defaulting on their financial obligations, with risk evaluated and updated on an hourly basis. This approach is often used by financial institutions and fintech companies that require real-time credit risk analysis for instant lending decisions or ongoing portfolio monitoring. By utilizing real-time data and advanced analytics, hourly credit risk modeling enables lenders to respond quickly to changes in a borrower's financial behavior or external market conditions. This leads to more accurate risk assessments and helps institutions manage their exposure more effectively.

How does an hourly credit risk modeling professional typically collaborate with other departments within a financial institution?

Hourly Credit Risk Modeling professionals often work closely with teams such as underwriting, data analytics, and IT to ensure credit risk models are accurate and actionable. They may participate in cross-functional meetings to discuss model performance, share insights from data analysis, and implement feedback from business stakeholders. Collaboration is key, as their models directly influence lending decisions, risk management strategies, and regulatory compliance. Regular communication with colleagues helps ensure that risk models stay aligned with evolving business needs and regulatory requirements.

What are the key skills and qualifications needed to thrive as an hourly credit risk modeler, and why are they important?

To thrive as an Hourly Credit Risk Modeler, you need strong quantitative skills, a background in finance, economics, mathematics, or statistics, and experience with credit risk principles. Familiarity with statistical software such as SAS, R, or Python, as well as knowledge of risk modeling frameworks and regulatory requirements, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings to stakeholders. These skills are essential for accurately assessing credit risk, supporting sound decision-making, and ensuring regulatory compliance in financial institutions.

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

AspectHourly Credit Risk ModelingCredit Analyst
Primary FocusDeveloping and implementing credit risk models to assess borrower riskAnalyzing credit data to evaluate creditworthiness of individuals or companies
Required SkillsStatistical analysis, modeling, programming, financial analysisFinancial analysis, credit report review, communication skills
Work EnvironmentFinancial institutions, consulting firms, often project-basedBanks, lending institutions, credit departments
CertificationsOften requires CFA, FRM, or similar certificationsTypically requires finance or accounting degrees; certifications like CFA are common

Hourly Credit Risk Modeling involves creating quantitative models to predict credit risk, often requiring advanced statistical and programming skills. Credit Analysts focus on evaluating individual credit data to make lending decisions. While both roles require financial knowledge and may share certifications, their core responsibilities differ: one is model development, the other is credit evaluation.

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

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

What job categories do people searching Hourly Credit Risk Modeling jobs in Ohio look for?

The top searched job categories for Hourly Credit Risk Modeling jobs in Ohio are:

What cities in Ohio are hiring for Hourly Credit Risk Modeling jobs?

Cities in Ohio with the most Hourly Credit Risk Modeling job openings:

Infographic showing various Hourly Credit Risk Modeling job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 50% Full Time, 42% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 95% Physical, and 5% Remote job distribution.

Quantitative Credit Data Analyst

Cleveland, OH • On-site

Keybank
Banking and Credit Intermediation • 10K+ employees

Full-time

Re-posted 24 days ago


KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

54th of 176 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: 09/06/2026 KeyCorp 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