ZipRecruiter

Log In

1

Hourly Credit Risk Modeling Jobs (NOW HIRING)

Inizio Partners

Credit Risk Modeler

San Jose, CA · Hybrid

... modeling using Machine Learning modeling techniques * Technical Skills Required: Hive, PySpark, SQL, Python * Must have experience in development of Credit Risk models (probability of default ...

PSECU

Credit Risk Analyst

Harrisburg, PA · On-site

Analyzes effectiveness of credit risk models and strategies and provides insights and recommendations to leadership. Participates in projects impacting Credit Risk Management. Identifies and ...

PSECU

Credit Risk Analyst

Harrisburg, PA · On-site

Analyzes effectiveness of credit risk models and strategies and provides insights and recommendations to leadership. Participates in projects impacting Credit Risk Management. Identifies and ...

next page

Showing results 1-20

People also search for

All JobsHourly Credit Risk Modeling Jobs

Hourly Credit Risk Modeling information

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 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 cities are hiring for Hourly Credit Risk Modeling jobs? Cities with the most Hourly Credit Risk Modeling job openings:
What are the most commonly searched types of Credit Risk Modeling jobs? The most popular types of Credit Risk Modeling jobs are:
What states have the most Hourly Credit Risk Modeling jobs? States with the most job openings for Hourly Credit Risk Modeling jobs include:
Hourly Credit Risk Modeling jobs near you

Senior Credit Risk Modeling Analyst

TriQuest Business Services

San Antonio, TX • Hybrid

$115K/yr

Other

Posted 27 days ago

Job description

Job Title: Senior Credit Risk Modeling Analyst

Location: San Antonio, TX (Hybrid)
Salary: $115,000
Industry: Financial Services / Credit Risk

About the Role

We are seeking a highly analytical Senior Credit Risk Modeling Analyst to help build and lead the next generation of credit underwriting models within a growing financial institution. This is a ground-floor opportunity to bring credit risk modeling in-house, moving the organization from reporting-focused analytics to advanced, data-driven decisioning.

You will serve as the subject matter expert on a small team, owning the full model lifecycle-from development and validation to monitoring and optimization-while helping elevate the team's overall modeling capabilities.

Key Responsibilities

Model Development & Strategy

  • Design and develop credit risk models for loan underwriting using internal and external data
  • Lead major model refresh initiatives using historical application and performance data
  • Build decision-tree and predictive models to improve approval strategies and risk outcomes

Model Lifecycle Ownership

  • Own end-to-end model lifecycle: development, documentation, validation, and deployment
  • Monitor model performance and identify trends or deviations from expectations
  • Recommend and implement enhancements based on performance insights

Data & Tools

  • Work within Databricks using SQL and Python for data extraction, transformation, and modeling
  • Integrate internal datasets with third-party data sources (e.g., Experian)
  • Support model deployment within external platforms (e.g., PCOE / Strategy Design Studio)

Collaboration & Stakeholder Engagement

  • Partner with analysts to support reporting, testing, and monitoring efforts
  • Work with audit, risk, and leadership teams to defend model assumptions and decisions
  • Collaborate with external vendors on model implementation and optimization
  • Communicate complex modeling concepts to both technical and non-technical stakeholders
Qualifications
  • Bachelor's degree in Finance, Statistics, or a quantitative field (Master's preferred)
  • 5+ years of experience in credit risk modeling or similar quantitative role
  • Hands-on experience building and validating credit risk or underwriting models
  • Strong experience with SQL and Python (R or other tools a plus)
  • Experience working in a regulated financial environment (bank or credit union preferred)
  • Ability to explain and defend models under audit and regulatory review
  • Strong analytical thinking and problem-solving skills
Preferred Experience
  • Experience with Experian PCOE / Strategy Design Studio
  • Exposure to CECL or credit loss modeling frameworks
  • Experience integrating third-party credit bureau data into models
  • Background working with Databricks or similar data platforms
Work Environment & Culture
  • Hybrid schedule (~30% onsite; team works in-office on designated weeks)
  • Collaborative, high-growth environment with a small, developing team
  • Leadership style is hands-off, with strong support for removing roadblocks
  • Opportunity to shape and expand the organization's credit risk modeling function

Apply