ZipRecruiter

Log In

1

Freelance Credit Risk Modeling Jobs in Utah (NOW HIRING)

First Electronic Bank

CECL Analyst

Salt Lake City, UT · On-site

The ideal candidate has strong analytical skills, attention to detail, and a desire to grow within credit risk and financial modeling. What You'll Do: * CECL Data & Modeling Support * Assist with ...

First Electronic Bank

CECL Analyst

Salt Lake City, UT · On-site

The ideal candidate has strong analytical skills, attention to detail, and a desire to grow within credit risk and financial modeling. What You'll Do: * CECL Data & Modeling Support * Assist with ...

JJ Astor and Co

Credit Underwriter

Salt Lake City, UT · On-site

Private Credit Platform seeking a senior underwriter to take on an active loan portfolio. This ... Proficiency in financial analysis, modeling and risk assessment. * Excellent communication and ...

UnitedHealth Group

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80.40K - $101.40K/yr

... Credit Risk, or Lending teams within a bank or financial services organization * Advanced experience with Power BI, including data modeling, DAX, custom measures, and designing executive-ready ...

Brex

Director, Collections

Salt Lake City, UT · Hybrid

$176K - $220K/yr

You take learnings from each recovery effort to optimize our internal policies and credit risk ... Partner with Data Science and Engineering to build predictive risk models (e.g., propensity to pay ...

next page

Showing results 1-20

People also search for

All JobsFreelance Credit Risk Modeling JobsFreelance Credit Risk Modeling Jobs in Utah

Freelance Credit Risk Modeling information

What are the key skills and qualifications needed to thrive as a Freelance Credit Risk Modeler, and why are they important?

To thrive as a Freelance Credit Risk Modeler, you need a strong background in statistics, quantitative finance, and data analysis, typically supported by a degree in finance, mathematics, or a related field. Proficiency in programming languages such as Python, R, or SAS, along with experience using risk modeling software and knowledge of regulatory frameworks like Basel III, is crucial. Excellent communication, project management, and client relationship skills help distinguish top freelancers in this role. These abilities are essential for delivering accurate risk assessments, meeting client expectations, and maintaining compliance in a dynamic financial environment.

How do freelance credit risk modelers typically collaborate with clients and other stakeholders during projects?

Freelance credit risk modelers usually work closely with client teams such as credit analysts, data engineers, and compliance officers to understand data sources, project objectives, and regulatory requirements. Communication often occurs through regular virtual meetings, progress reports, and collaborative tools to ensure transparency and alignment. Freelancers must be proactive in clarifying goals, sharing preliminary findings, and incorporating feedback to deliver models that meet both technical and business needs. Building strong client relationships and maintaining clear documentation are key to successful collaboration in this role.

What is freelance credit risk modeling?

Freelance credit risk modeling involves independent professionals analyzing and predicting the likelihood that borrowers or counterparties will default on financial obligations. These freelancers use statistical methods, machine learning models, and data analysis to assess credit risk for banks, lenders, or other firms. Their work helps organizations make informed lending decisions, set appropriate interest rates, and comply with regulatory requirements. Freelancers in this field may work on projects like developing credit scorecards, stress testing portfolios, or validating existing risk models.

What is the difference between Freelance Credit Risk Modeling vs Credit Analyst?

AspectFreelance Credit Risk ModelingCredit Analyst
CredentialsRelevant certifications (e.g., CFA, credit risk certifications), strong quantitative skillsTypically requires a degree in finance, economics, or related field; certifications are a plus
Work EnvironmentIndependent, project-based, remote or client-siteUsually in banks, financial institutions, or corporate offices
Industry UsageUsed by consulting firms, freelance platforms, and financial servicesEmployed directly by financial institutions or corporations
Comparison Search IntentUnderstanding freelance opportunities in credit risk modelingAssessing creditworthiness and risk for lending decisions

Freelance Credit Risk Modeling involves independent, project-based work focusing on developing risk models, often remotely. Credit Analysts work within organizations to evaluate creditworthiness, typically in a structured environment. While both roles require financial expertise and similar credentials, their work settings and employment types differ significantly.

What are the most commonly searched types of Credit Risk Modeling jobs in Utah? The most popular types of Credit Risk Modeling jobs in Utah are:
What are popular job titles related to Freelance Credit Risk Modeling jobs in Utah? For Freelance Credit Risk Modeling jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Freelance Credit Risk Modeling jobs in Utah look for? The top searched job categories for Freelance Credit Risk Modeling jobs in Utah are:
What cities in Utah are hiring for Freelance Credit Risk Modeling jobs? Cities in Utah with the most Freelance Credit Risk Modeling job openings:
Freelance Credit Risk Modeling jobs near you
Model Validation Analyst

Model Validation Analyst

First Electronic Bank

Salt Lake City, UT • On-site

Full-time

Posted 6 days ago

Job description

Description:

At First Electronic Bank (FEB), we are driven by the purpose to make credit accessible to everyday Americans, and their businesses. Partnering with some of the most innovative FinTech companies in the nation, we offer a wide range of consumer and commercial credit products on a national basis. Offering revolving lines of credit, private-label credit cards, installment financing programs and more, FEB’s engages with strategic, collaborative partnerships, promoting services and products to provide the most beneficial consumer and commercial financing solutions.

The Model Validation Analyst plays a critical role in ensuring model integrity, regulatory compliance, and sound risk management practices. This role reports to the Head of Credit Risk and Portfolio Analytics Credit and supports the Bank’s strategic partner program by reviewing statistical models used in underwriting and assessing overall model risk across partnerships.


What You'll Do:

  • Review third-party model validation documentation for conceptual soundness and alignment with applicable regulatory guidance.
  • Assess and challenge credit models and underwriting strategies used in loan origination.
  • Maintain a comprehensive inventory of all models used by the Bank, including underwriting, fraud, and marketing models.
  • Evaluate model performance monitoring practices and ensure appropriate tracking of key risk indicators.
  • Partner with Compliance, Legal, and Strategic Partner Management teams to ensure models meet applicable regulatory and internal policy requirements.
  • Prepare reports and present model risk metrics to the Bank’s Credit Committee.
  • Monitor and test credit origination strategies to validate accuracy and consistency of credit decisions.
  • Conduct model and credit risk due diligence for prospective fintech partners.
  • Participate in or lead initiatives to enhance model risk management processes and improve overall risk oversight.
Requirements:

What We're Looking For:


Education & Experience

  • Master’s degree in Statistics, Data Science, Computer Science, Economics, Mathematics, or a related quantitative field;
  • OR Bachelor’s degree with 3+ years of relevant experience in model development or validation.
  • Prior experience developing and/or validating credit risk models is required.
  • 3+ years of experience in banking, financial services, or a related industry is preferred.

Technical Skills

  • Strong understanding of statistical modeling techniques, including regression and classification models.
  • Ability to evaluate model structure, assumptions, and validation methodologies.
  • Familiarity with machine learning models and their application in credit decisioning.
  • Proficiency in one or more programming languages/tools, such as SQL, Python, R, or SAS.
  • Working knowledge of credit policies and underwriting frameworks.
  • Familiarity with CECL models is a strong plus.

Professional Skills

  • Ability to work effectively across cross-functional teams, including Compliance, Audit, and Model Risk Management.
  • Strong analytical and critical thinking skills with attention to detail.
  • Effective written and verbal communication skills, including the ability to present technical concepts to non-technical audiences.
  • Strong organizational and prioritization skills in a fast-paced environment.

Additional Information

  • Experience working with regulatory, audit, or model risk management frameworks is a plus.
  • Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook) required.