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Hourly Credit Risk Modeling Jobs in Ohio (NOW HIRING)

B-Paid LLC

Credit Risk Lead

Columbus, OH · On-site

Strong understanding of credit risk modeling, financial statement analysis, and risk rating systems ... Familiarity with relevant regulatory frameworks (e.g., Basel III, Dodd-Frank, IFRS 9, CECL)

MyUSA Credit Union

Credit Risk Analyst

Middletown, OH · Hybrid

The Credit Risk Analyst assists the Lending Manager in developing strategies to increase lending ... Strong knowledge of financial institution lending strategies, and credit score models * Proficient ...

Medpace

Credit and Risk Manager

Cincinnati, OH · On-site

$100 - $125/hr

Escalates highest risk customers to Executive management * Perform ad-hoc analysis of customer ... Develop and/or evaluate various models used for setting credit ratings/scores * Ability to access ...

Medpace, Inc.

Credit and Risk Manager

Cincinnati, OH · On-site +1

Escalates highest risk customers to Executive management * Perform ad-hoc analysis of customer ... Develop and/or evaluate various models used for setting credit ratings/scores * Ability to access ...

Medpace, Inc.

Credit and Risk Manager

Cincinnati, OH · On-site

Escalates highest risk customers to Executive management * Perform ad-hoc analysis of customer ... Develop and/or evaluate various models used for setting credit ratings/scores * Ability to access ...

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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 are popular job titles related to Hourly Credit Risk Modeling jobs in Ohio?

For Hourly Credit Risk Modeling jobs in Ohio, the most frequently searched job titles 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:

Hourly Credit Risk Modeling jobs near you
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.

Credit Risk Lead

B-Paid LLC

Columbus, OH • On-site

Full-time

Posted 12 days ago

Job description

Description:


The Credit Risk Lead is responsible for evaluating, monitoring, and managing the organization's exposure to credit risk, particularly around building and growing our future credit and lending programs. This role develops and implements credit risk policies, oversees credit analysis processes, and ensures lending and counterparty decisions align with the organization's risk appetite and regulatory requirements. 


Key Responsibilities 

  • Develop, implement, and maintain credit risk policies, procedures, and frameworks 
  • Develop Risk Assessment Framework 
  • Assess creditworthiness of individual and/or corporate borrowers/counterparties through financial statement analysis, credit scoring models, and industry research 
  • Monitor and report on the credit portfolio's performance, including delinquency rates, concentration risk, and early warning indicators 
  • Set and manage credit limits, terms, and approval authorities 
  • Conduct stress testing and scenario analysis to evaluate portfolio resilience under adverse conditions 
  • Collaborate with sales, payments, and finance teams to balance growth objectives with risk tolerance 
  • Ensure compliance with regulatory requirements 
  • Prepare risk reports and presentations for senior management, credit committees, and the board 
  • Review and approve credit applications above defined thresholds 
  • Manage relationships with credit rating agencies, auditors, and regulators as needed 
  • Lead or support remediation of past-due accounts and workout strategies for distressed credits 
  • Mentor and manage credit analysts or junior risk staff, if applicable 
  • Stay current on macroeconomic trends, industry developments, and regulatory changes affecting credit risk 
Requirements:

Required Qualifications 

  • Bachelor's degree in Finance, Economics, Accounting, or a related field (MBA or relevant master's degree a plus) or equivalent experience. 
  • 8+ years of experience in credit risk management, commercial/consumer lending, or related financial analysis roles 
  • Strong understanding of credit risk modeling, financial statement analysis, and risk rating systems 
  • Familiarity with relevant regulatory frameworks (e.g., Basel III, Dodd-Frank, IFRS 9, CECL)  
  • Proficiency in risk management software and data analysis tools (e.g., Excel, SQL, SAS, Python, or similar) 
  • Strong analytical, quantitative, and problem-solving skills 
  • Excellent written and verbal communication skills, with the ability to present complex information clearly 
  • High attention to detail and sound judgment under pressure 

Preferred Qualifications 

  • Experience building a credit program is preferred 
  • Professional certification such as CFA, FRM, or PRM 
  • Experience with credit risk modeling tools and/or enterprise risk management systems 
  • Prior experience in [industry, e.g., banking, commercial lending, fintech] 
  • Experience building, managing, and mentoring a team a plus 
  • Start up experience is a plus 

Key Competencies 

  • Analytical thinking and data-driven decision-making 
  • Risk assessment and mitigation 
  • Regulatory and compliance knowledge 
  • Stakeholder management and cross-functional collaboration 
  • Leadership and communication