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Hourly Credit Risk Modeling Jobs in Texas (NOW HIRING)

Senior Credit Risk Analyst

Dallas, TX · On-site

$90 - $130/hr

Strong experience with Python for data analysis and modeling * Working knowledge of credit risk concepts: scorecards, vintage analysis, delinquency curves, loss forecasting * Ability to communicate ...

Strong experience with Python for data analysis and modeling * Working knowledge of credit risk concepts: scorecards, vintage analysis, delinquency curves, loss forecasting * Ability to communicate ...

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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 Texas?

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

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

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

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

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

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

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

Infographic showing various Hourly Credit Risk Modeling job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 55% Full Time, 39% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution.

Manager, Credit Risk and Policy Analytics

PenFed Credit Union

Irving, TX • Hybrid

$84K - $162K/yr

Full-time

Re-posted 13 days ago


PenFed Credit Union rating

7.6

Company rating: 7.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz


Job description

Overview

PenFed is hiring a (Hybrid) Manager, Credit Risk and Policy Analytics at our Tysons, Virginia or Irving, Texas location.  The primary focus of this job is to manage credit analysis to drive sustainable growth in consumer credit policy and conduct credit risk monitoring to ensure policy performance. You will explore utilizing AI in your analysis and collaborate in building advanced valuation and risk detection models. You will conduct hands-on analysis and have people management opportunities. You have a direct influence on strategic goal setting for the broader Consumer Lending Policy and Analytics team and positively impact on PenFed’s credit product experience for millions of PenFed members.


Responsibilities

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all-inclusive list of job duties and the position will perform other duties as assigned.

  • Develop and manage automated and judgmental decisions within credit policies for both new account acquisition and accounts on book, from approve/decline, line assignment and/or portfolio risk management.
  • Individual contributor or manage one analyst to achieve team’s strategic goals, training and assisting development of skills and cultivating credit culture.
  • Drive monitoring and analyses of credit risk for both organic and acquired portfolio, prepare related management reporting package and provide insights on root causes, emerging credit trends and implications on Allowance for Loan Losses.
  • Define risk segmentation, lead analysis for credit policy optimization and risk mitigation strategies, focusing on new account acquisition or existing account management policies.
  • Collaborate with modeling teams to build and validate risk and/or NPV valuation models using both internal and external data sources, implement models in policy optimization, and/or monitor model performance on an ongoing basis.
  • Provide ongoing or ad-hoc risk analytics to support credit or new product expansion.
  • Independently lead the effort for any ad hoc analysis and deep dive to understand the business drivers of credit trends, derive actionable insights and make sound business recommendations
  • Collaborate with business line product managers in optimizing marketing campaigns used in acquisitions and/or customer management that align with the credit policies and scoring models.
  • Participate in external and internal audits, and regulatory examinations as needed.
  • Identify required data and work with data stewards to understand data source, ensure data quality and retrieve data on a timely basis. Contribute to credit data mart and corporate database designs.
  • Explore creative ways to incorporate AI into credit analysis and BAU process.

Qualifications

Equivalent combination of education and experience is considered.

  • Bachelor’s degree in business, finance, economics, computer science, engineering, math, statistics, or other quantitative discipline required, MBA or master’s degree preferred.
  • Minimum of eight (8) years’ experience in credit risk policy & analysis, credit risk management or modeling in the financial services industry.
  • Minimum of three (3) years of supervisory / assistant manager experience required.
  • Experience in Consumer Lending products including Credit Card, Auto Loan and Unsecured Personal Loan is required.
  • Expert level skills in various data analysis and visualization tools including SQL, Excel, and PowerPoint are required.
  • Proficiency with statistical tools, R & Python and Tableau experience, is strongly preferred.
  • Excellent written, verbal communication and presentation skills.
  • Curiosity, attention to details, strong critical thinking and problem-solving skills.
  • Ability to work effectively in ambiguous situations, ability to prioritize among multiple projects.
  • Self-motivated and strong interpersonal skills to actively lead and implement ideas in a cross-functional team environment.
  • Experience using A.I. tools preferred.

Supervisory Responsibility

This position will supervise employees.

Licenses and Certifications

There are no additional licenses and/or certifications required.

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Ability to travel to various worksites and be on-call is required.

Pay Transparency 
The anticipated starting salary range for this role is $84,700.00 - $162,310.00
This position is eligible for an organizational performance based annual bonus, subject to board discretion and approval.
This position is eligible for an individual performance based annual bonus.

#LI-Hybrid

Qualifications:

Equivalent combination of education and experience is considered.

  • Bachelor’s degree in business, finance, economics, computer science, engineering, math, statistics, or other quantitative discipline required, MBA or master’s degree preferred.
  • Minimum of eight (8) years’ experience in credit risk policy & analysis, credit risk management or modeling in the financial services industry.
  • Minimum of three (3) years of supervisory / assistant manager experience required.
  • Experience in Consumer Lending products including Credit Card, Auto Loan and Unsecured Personal Loan is required.
  • Expert level skills in various data analysis and visualization tools including SQL, Excel, and PowerPoint are required.
  • Proficiency with statistical tools, R & Python and Tableau experience, is strongly preferred.
  • Excellent written, verbal communication and presentation skills.
  • Curiosity, attention to details, strong critical thinking and problem-solving skills.
  • Ability to work effectively in ambiguous situations, ability to prioritize among multiple projects.
  • Self-motivated and strong interpersonal skills to actively lead and implement ideas in a cross-functional team environment.
  • Experience using A.I. tools preferred.

Supervisory Responsibility

This position will supervise employees.

Licenses and Certifications

There are no additional licenses and/or certifications required.

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

*Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Ability to travel to various worksites and be on-call is required.

Pay Transparency 
The anticipated starting salary range for this role is $84,700.00 - $162,310.00
This position is eligible for an organizational performance based annual bonus, subject to board discretion and approval.
This position is eligible for an individual performance based annual bonus.

#LI-Hybrid

Education:UNAVAILABLEEmployment Type: FULL_TIME

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