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Hourly Credit Risk Modeling Jobs in Dallas, TX (NOW HIRING)

Support model risk oversight by reviewing model performance results, validation findings ... Support credit risk SOP governance by coordinating periodic reviews, identifying missing or ...

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Mines, models, analyzes large datasets, and utilizes predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive ...

Mines, models, analyzes large datasets, and utilizes predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive ...

Analyze forecasting models, debt rating models and ratings and execute remedial management action ... Credit Risk Job Family Group: Job Family: Time Type: Full time Primary Location: Irving Texas ...

Analyze forecasting models, debt rating models and ratings and execute remedial management action ... Credit Risk ----- Job Family Group: ----- Job Family: ----- Time Type: Full time ----- Primary ...

The Opportunity As a dedicated Bank Credit Risk Analyst Lead, you will have a strong background in ... May have model ownership responsibilities and drive accountability for quantitative model ...

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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 Dallas, TX?

The most popular types of Credit Risk Modeling jobs in Dallas, TX are:

What are popular job titles related to Hourly Credit Risk Modeling jobs in Dallas, TX?

For Hourly Credit Risk Modeling jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Hourly Credit Risk Modeling jobs in Dallas, TX look for?

The top searched job categories for Hourly Credit Risk Modeling jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Hourly Credit Risk Modeling jobs?

Cities near Dallas, TX with the most Hourly Credit Risk Modeling job openings:

Infographic showing various Hourly Credit Risk Modeling job openings in Dallas, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Sr. Credit Risk Governance Analyst

850 Elevate Credit Service, LLC

Addison, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

General Summary The Sr. Credit Risk Governance Analyst is responsible for supporting and strengthening the organization's credit risk governance framework through independent oversight of credit decisioning, credit policy management and testing, credit risk process governance, retrospective credit reviews, and second-line model risk challenge activities.

This role partners with Credit Risk, Enterprise Risk Management, Compliance, Legal, Analytics, Operations, Technology, and vendor partners to assess whether credit strategies, policies, models, procedures, controls, and approval authorities are operating as intended and aligned with risk appetite, regulatory expectations, and internal governance standards.

The position develops governance reporting, identifies control gaps and emerging risk trends, supports issue escalation and remediation, maintains process documentation and SOP governance routines, and helps mature the credit risk control environment through durable, auditable, and consistently applied governance practices.

Principal Duties and Responsibilities Provide second-line oversight of the end-to-end credit decisioning process to assess alignment with approved credit policy, risk appetite, delegated authorities, governance standards, and applicable regulatory expectations. Execute credit policy testing and control reviews to validate consistent policy application, identify breaches, exceptions, control gaps, and emerging risk trends, and recommend remediation actions.

Maintain and support the credit policy framework, including policy inventory, approval workflows, exception monitoring, periodic review routines, version control, and documentation of policy changes. Provide independent challenge to credit risk models, strategies, scorecards, decision rules, assumptions, performance monitoring, and model governance documentation in coordination with Model Risk Management and Analytics.

Support model risk oversight by reviewing model performance results, validation findings, monitoring thresholds, implementation controls, issue remediation, and adherence to model risk management standards. Perform retrospective credit risk reviews to evaluate decision quality, policy adherence, adverse trends, override activity, exception activity, customer outcomes, and root causes of credit performance or control issues.

Develop and maintain credit risk standard operating procedures, process maps, control inventories, governance documentation, job aids, and review routines to support consistent execution and audit readiness. Development and maintenance of credit risk and collections process documentation, including process maps, policies, SOPs, RACI matrices, FMEAs, and other governance and operational documentation as needed.

Support credit risk SOP governance by coordinating periodic reviews, identifying missing or outdated procedures, promoting consistent documentation standards, and tracking remediation of procedure gaps.

Analyze governance results, credit decisioning trends, policy exceptions, model monitoring outputs, control gaps, and issue data to identify risks, root causes, and opportunities to strengthen the credit risk control environment. Prepare governance reporting, dashboards, committee materials, risk summaries, and executive-level updates that communicate credit risk themes, testing results, model oversight observations, and remediation progress.

Escalate material credit governance concerns, policy breaches, model risk observations, control weaknesses, or recurring process issues to appropriate governance forums and leadership stakeholders. Support audits, examinations, compliance reviews, model risk reviews, issue management activities, and governance inquiries by providing documentation, analysis, control evidence, and process explanations.

Monitor regulatory, business, product, and credit strategy changes to assess impacts to credit policies, decisioning controls, model governance, procedures, reporting, and oversight routines. Perform additional credit governance, enterprise risk management, and special project duties as assigned.

Experience and Education Bachelor's degree in business, finance, economics, risk management, data analytics, or a related field required; Master's degree or risk-related certification preferred. 5+ years of experience in financial services, credit risk, enterprise risk management, model risk management, compliance, audit, governance, analytics, or related risk oversight functions.

Experience with credit policy management, credit decisioning, credit risk controls, model governance, policy testing, process management, issue management, or second-line oversight is preferred.

Required

Skills, Abilities, Soft Skill Factors Strong understanding of credit risk management, credit decisioning strategies, credit policy governance, risk appetite, controls, and financial services regulatory expectations. Knowledge of model risk management concepts, including model validation, performance monitoring, assumptions, thresholds, implementation controls, and independent challenge practices.

Ability to execute policy testing, control reviews, retrospective reviews, root cause analysis, and governance assessments with accuracy, consistency, and appropriate documentation. Strong quantitative, analytical, problem-solving, and critical thinking skills with the ability to identify trends, synthesize data, and translate findings into clear governance recommendations. Strong process mapping, procedure development, control documentation, and issue tracking skills, with an emphasis on durable, auditable governance routines.

Effective written and verbal communication skills, including the ability to prepare executive-ready summaries, committee materials, risk reporting, testing results, and remediation updates. Ability to work independently as a senior individual contributor, manage multiple priorities, meet deadlines, and influence cross-functional partners without direct authority. High attention to detail, sound judgment, professional skepticism, and ability to challenge assumptions while maintaining productive stakeholder relationships.

Proficiency with Microsoft Office applications and familiarity with reporting, analytics, workflow, model monitoring, or governance tools is preferred. California Employee Privacy Policy | Family & Medical Leave Act | Employee Polygraph Protection Act |E-Verify #LI-BJ1 Elevate is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Welcome to Elevate Careers! Elevate was founded on a legacy of data and innovation coupled with a customer-first approach.

That's why we're committed to providing solutions for non-prime customers today, and have never lost sight of our purpose of helping them on their way to a better financial future. We call our approach "Good Today, Better Tomorrow."