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Hourly Credit Risk Modeling Jobs in Illinois (NOW HIRING)

Adyen

Credit Risk Officer

Chicago, IL

Analyze the impact of business model, industry and macro-economic developments on the credit portfolios and the credit risk offering of Adyen; * Develop and implement credit risk strategies to ...

Adyen

Credit Risk Officer

Chicago, IL · On-site

Analyze the impact of business model, industry and macro-economic developments on the credit portfolios and the credit risk offering of Adyen; * Develop and implement credit risk strategies to ...

Alliant

Senior Credit Risk Analyst

Chicago, IL · On-site

$84K - $131K/yr

Perform model and strategy testing and assist with audit/regulatory requests. Work cross ... Review and monitor credit risk for credit cards, and recommend/implement line management, pricing ...

Alliant

Principal Credit Risk Analyst

Chicago, IL · On-site

$119K - $204K/yr

Complete credit risk analytics, which includes but is not limited to loan origination strategy, economic capital setting, credit loss modeling and mitigation, CECL implementation * Partner with other ...

Avant

Associate, Data Science, Credit Risk

Chicago, IL

$95K - $130K/yr

Design and build robust credit risk models, including application scorecards, behavioral models, loss forecasting, and risk-based pricing, to optimize underwriting decisions and drive overall ...

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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.

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 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.

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 most commonly searched types of Credit Risk Modeling jobs in Illinois? The most popular types of Credit Risk Modeling jobs in Illinois are:
What are popular job titles related to Hourly Credit Risk Modeling jobs in Illinois? For Hourly Credit Risk Modeling jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Hourly Credit Risk Modeling jobs in Illinois look for? The top searched job categories for Hourly Credit Risk Modeling jobs in Illinois are:
Hourly Credit Risk Modeling jobs near you
Manager, Credit Risk & Portfolio Analytics

Manager, Credit Risk & Portfolio Analytics

Artius Solutions

Chicago, IL • On-site

Full-time

Re-posted 2 days ago

Job description

Manager, Credit Risk & Portfolio Analytics

Location: Chicago, IL (Hybrid)
Employment Type: Full-Time

Overview

Our client, a large and well-established financial services organization based in Chicago, is seeking a Manager, Markets Credit to lead credit risk oversight across mortgage-related assets and fixed income investment portfolios.

This role will manage a team responsible for developing and maintaining credit risk models, performing scenario analysis and stress testing, and monitoring portfolio risk trends. The position will also collaborate closely with cross-functional teams to support investment strategies, product development initiatives, and regulatory compliance efforts.

The ideal candidate is a strong analytical leader with experience in credit risk modeling, mortgage or structured finance exposure, and a track record of leading high-performing analytical teams.

Key ResponsibilitiesCredit Risk Oversight

  • Oversee the monitoring and analysis of credit risk exposures within mortgage-related and investment portfolios.

  • Identify emerging risk trends and provide insights into portfolio performance and risk concentrations.

  • Ensure risk management frameworks support sound portfolio management and investment decision-making.

Credit Modeling & Analytics

  • Lead the development and maintenance of credit risk models including prepayment, default, and loss forecasting models.

  • Manage model assumptions, calibration, validation support, and performance monitoring.

  • Conduct model back-testing and benchmarking to evaluate model effectiveness and recommend improvements.

  • Design analytical tools and risk frameworks to evaluate credit enhancement adequacy and portfolio resilience.

Stress Testing & Scenario Analysis

  • Lead scenario analysis and macroeconomic stress testing across mortgage and investment portfolios.

  • Evaluate portfolio sensitivity to changing market conditions and economic variables.

  • Present findings and recommendations to senior stakeholders.

Regulatory & Governance Collaboration

  • Partner with model validation teams, internal audit, and regulatory stakeholders to ensure models and processes meet governance requirements.

  • Support regulatory reporting and model documentation standards.

Data & Process Innovation

  • Identify opportunities to enhance risk monitoring through advanced analytics, automation, and improved data infrastructure.

  • Lead initiatives that improve analytical efficiency and portfolio risk transparency.

Team Leadership & Stakeholder Collaboration

  • Lead and develop a team of credit risk analysts and quantitative professionals.

  • Provide mentorship, performance management, and guidance on analytical methodologies.

  • Build strong partnerships with internal teams including finance, treasury, operations, legal, and risk management.

QualificationsEducation

  • Bachelor’s degree in Mathematics, Finance, Economics, Statistics, Computer Science, or a related quantitative discipline

  • Master’s degree preferred

Certifications (Preferred)

  • CFA or FRM designation or candidacy

Experience

  • 5+ years of experience in credit risk modeling, quantitative analytics, or financial risk management

  • 2+ years of people management experience

  • Experience working with mortgage assets, fixed income securities, or structured finance portfolios

Technical Skills

  • Strong experience developing predictive statistical models and analytical frameworks

  • Proficiency with SQL, Python, or R

  • Experience with business intelligence and analytics tools such as Tableau or Alteryx

  • Strong data analysis and modeling capabilities

Risk & Regulatory Knowledge

  • Familiarity with credit risk management frameworks and model governance

  • Experience supporting model validation, regulatory reviews, or audit processes

  • Understanding of mortgage lending, underwriting, or servicing processes is a plus

Leadership & Communication

  • Ability to lead and develop analytical teams

  • Strong stakeholder communication and presentation skills

  • Ability to translate complex analytical findings into actionable insights for business leaders

  • Strong problem-solving and critical thinking skills

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