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

Oversee model development, validation, and performance monitoring Business Partnership & Leadership * Advise executive leadership on credit risk exposure and strategic decisions * Partner with ...

Oversee model development, validation, and performance monitoring Business Partnership & Leadership * Advise executive leadership on credit risk exposure and strategic decisions * Partner with ...

Oversee model development, validation, and performance monitoring Business Partnership & Leadership * Advise executive leadership on credit risk exposure and strategic decisions * Partner with ...

Risk Management Analyst

Dallas, TX · On-site

$70K - $85K/yr

Develop and maintain risk models, reports, and dashboards to support decision-making * Monitor credit risk, operational risk, and compliance-related exposures * Collaborate with underwriting ...

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

Director, Credit Risk

Regional Finance

Plano, TX • On-site

Full-time

Posted 19 days ago


Regional Finance rating

6.9

Company rating: 6.9 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

Take your career to the next level! In the last few years our goal has been expansion, creating growth opportunities for many of our team members. Not only are we serious about growth, but we are also serious about helping our customers during hard financial times.

We take pride in providing solutions and offering a helping hand, not only to our customers but also to the communities we serve. As we continue to expand and grow into a national leader in consumer financing, we invite you to consider joining our team.

If you're passionate about making a meaningful impact in people's lives and bringing a personal touch to finance, we'd love to have you on board!

About the Role

The Director, Credit Risk Management, leads the development and execution of credit risk strategies across the organization, with responsibility for originations and underwriting, portfolio analytics, business performance reporting, and risk strategy development. This role oversees the design, implementation, and governance of enterprise-wide credit policies and underwriting standards to ensure sound risk management practices. The Director drives data-driven decision-making to optimize portfolio performance, balancing growth objectives with risk appetite and established performance targets. As a senior leader, this individual provides strategic insights and recommendations grounded in advanced analytics and a deep understanding of credit risk dynamics across consumer lending products, supporting sustainable business growth and portfolio quality.

What You'll Do

Credit Strategy & Portfolio Leadership

  • Lead the design and execution of credit risk strategies across originations and underwriting
  • Optimize portfolio performance while balancing growth, loss targets, and risk appetite
  • Oversee portfolio monitoring, forecasting, and performance analytics

Risk Governance & Policy

  • Establish and evolve enterprise credit policies, underwriting standards, and governance frameworks
  • Ensure compliance with regulatory expectations and internal risk controls
  • Partner with Compliance, Audit, and Asset Review to maintain strong risk oversight

Analytics & Insights

  • Deliver data-driven insights on portfolio health, including delinquency trends, loss performance, and profitability
  • Lead stress testing and scenario analysis to evaluate portfolio resilience
  • Identify emerging risks, performance anomalies, and optimization opportunities

Advanced Modeling & Data Utilization

  • Leverage traditional and alternative data to enhance credit decisioning
  • Apply advanced analytical techniques (regression, segmentation, clustering) to improve risk strategies
  • Oversee model development, validation, and performance monitoring

Business Partnership & Leadership

  • Advise executive leadership on credit risk exposure and strategic decisions
  • Partner with business leaders to align risk strategies with growth objectives
  • Lead initiatives that improve underwriting effectiveness and segmentation

What You Bring

Required Qualifications

  • Bachelor's degree in Statistics, Economics, Data Analytics, Mathematics, or related field
  • 6+ years of experience in credit risk, consumer finance, or analytics
  • Strong experience with data analysis and modeling (SAS, R, Python, SQL)
  • Proven ability to translate complex analytics into business insights

Preferred Qualifications

  • Experience in consumer lending or financial services
  • Background in marketing analytics or risk model development
  • Experience leading enterprise-level credit strategies

Key Strengths

  • Strategic thinker with strong business acumen
  • Exceptional communication skills (translating analytics executive insights)
  • Strong analytical and problem-solving capabilities
  • Ability to operate in a fast-paced, data-driven environment
  • Collaborative and influential leadership style

Direct Reports

3-5 direct reports.

If you are a job applicant who resides in the state of California, please review our California Employee Privacy Policy at the following link: https://regionalfinance.com/wp-content/uploads/2022/11/UPDATED-Employee-Privacy-Policy-11.2022.pdf

Regional is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, national origin, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, transgender status, age, disability, genetic information, veteran status, uniform service, or any other characteristic protected by applicable law ("Protected Characteristics"). Regional's policy of non-discrimination applies to all phases of the employment process and relationship, including, but not limited to, recruitment and selection; compensation and benefits; professional development and training; promotions and opportunities; transfers; social and recreational programs; layoff; and terminations.


What Regional Finance employees say

Pay

Benefits

Hours and flexibility

Workplace

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