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Freelance Credit Risk Modeling Jobs in New Mexico

Monitor and manage credit risk on assigned portfolios, including reviewing loan files to ensure ... Knowledge of cash flow modeling, commercial real estate leasing, appraisal methodologies ...

Monitor and manage credit risk on assigned portfolios, including reviewing loan files to ensure ... Knowledge of cash flow modeling, commercial real estate leasing, appraisal methodologies ...

Monitor and manage credit risk on assigned portfolios, including reviewing loan files to ensure ... Knowledge of cash flow modeling, commercial real estate leasing, appraisal methodologies ...

Monitor and manage credit risk on assigned portfolios, including reviewing loan files to ensure ... Knowledge of cash flow modeling, commercial real estate leasing, appraisal methodologies ...

Monitor and manage credit risk on assigned portfolios, including reviewing loan files to ensure ... Knowledge of cash flow modeling, commercial real estate leasing, appraisal methodologies ...

Monitor and manage credit risk on assigned portfolios, including reviewing loan files to ensure ... Knowledge of cash flow modeling, commercial real estate leasing, appraisal methodologies ...

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Freelance Credit Risk Modeling information

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.

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 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.

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 popular job titles related to Freelance Credit Risk Modeling jobs in New Mexico?

For Freelance Credit Risk Modeling jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Freelance Credit Risk Modeling jobs in New Mexico look for?

The top searched job categories for Freelance Credit Risk Modeling jobs in New Mexico are:

What cities in New Mexico are hiring for Freelance Credit Risk Modeling jobs?

Cities in New Mexico with the most Freelance Credit Risk Modeling job openings:

Infographic showing various Freelance Credit Risk Modeling job openings in New Mexico as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Portfolio Analytics Manager

Sunward Federal Credit Union

Albuquerque, NM โ€ข On-site

$83K - $104K/yr

Full-time

Re-posted 5 days ago


Job description

Description

Job Summary:

Responsible for the analysis and performance of Sunward's loan portfolio. Assists with the development of data-driven strategies to assess and enhance loan performance. Collaborates with various departments to provide insight into loan portfolio trends and performance metrics that align with the credit union's strategic goals to become the economic engine of the Southwest.


Essential Job Duties:


Portfolio Analysis:

  • Analyze loan product performance, identifying trends related to delinquency, charge-offs, and overall portfolio health.
  • Evaluate portfolio segmentation (e.g., loan types, geographies, credit scores) to identify areas of strength and risk, providing data insights for lending strategy adjustments.
  • Collaborate with Finance to ensure accurate forecasting of charge-offs and CECL calculations to support the Allowance for Loan Loss.
  • Conduct and communicate standard and ad hoc stress testing scenarios to determine portfolio vulnerabilities and resilience to various economic scenarios.
  • Develop and maintain key risk metrics, including delinquency ratios, net charge-off ratios, and early-stage delinquency trends.
  • Establish thresholds for key risk indicators and provide breach monitoring and escalation procedures for corrective action.
  • Build dashboards to monitor risk factors and present these insights to management and key stakeholders, enabling real-time decisions.
  • Support remediation efforts by partnering with relevant risk leaders to provide portfolio risk mitigation strategies.
  • Present portfolio performance insights and recommendations to relevant committees, including Credit Portfolio Analysis Meeting.
  • Benchmark Sunward's portfolio performance against peers and competitors to identify performance gaps and propose actionable underwriting adjustments.
  • Monitor borrower and portfolio trends in response to changes in economic conditions, including interest rate movements, unemployment trends, and housing market dynamics.
  • Provide data-driven insights to support the review of underwriting guidelines, credit risk policies, and loan pricing strategies.
  • Assist with the design and development of dashboards for risk management and reporting, including interactive tools for loan portfolio visualization.
  • Build and maintain quantitative models for scenario analysis, credit risk modeling, and forecasting, utilizing statistical methods (e.g., correlation, regression).
  • Enhance scenario analysis and market forecasting tools to optimize business strategies and capital planning.
  • Monitor portfolio concentration risk (e.g., geographic concentration, borrower segments) and recommend adjustments to mitigate exposure.

Collaboration, Reporting and Project Management:

  • Partner with business users to interpret data findings, providing risk insights and suggesting potential adjustments to business strategies.
  • Support Special Assets with financial reporting and effectiveness metrics.
  • Assist in identifying and testing robust data and modeling solutions for stress testing and credit analytics.
  • Build and maintain a forecasting framework for portfolio performance metrics.
  • Serve as admin for the Akuvo platform in creating or generating tickets to enhance metrics, systems, and efficiencies.
  • Manage project onboarding for new vendors that support technology efficiencies for Special Assets.
  • Perform other duties as assigned.
  • Work with Project Management Officer (PMO) to facilitate the effective scoping, reporting, and management/implementation of the projects.ย 
  • Directly and indirectly supports cross-functional teams of business unit leaders, analysts, internal stakeholders, and external partners (vendors) to facilitate the on-time.


Requirements

Required Skills/Abilities:

  • Strong proficiency in Microsoft Office applications, particularly Word and Excel.
  • Advanced analytical, quantitative, and problem-solving skills.
  • Proven ability to analyze loan portfolio performance and communicate risks effectively.


Knowledge:

  • Strong knowledge of regulatory requirements, including FDCPA, FCRA, SCRA, and others.
  • Familiarity with loan underwriting, collections, and financial statement analysis.
  • Solid understanding of asset recovery and liquidation including applicable regulatory reporting requirements.ย 
  • Strong knowledge of consumer lending, and related collection practices
  • Strong financial acumen with experience in budgeting, forecasting, and P&L management.
  • Familiar with Allowance for Loan Loss calculation under Current Expected Credit Loss ("CECL") standard
  • Familiar with statistical methods (e.g correlation, regressing, clustering, etc.)
  • Knowledge of data visualization tools like Tableau or PowerBI, Oracle Business Intelligence, or similar tools.ย 

Education and Experience:

  • Minimum six years' combined experience in financial portfolio analysis, consumer and commercial loan underwriting requirements, collections, or a closely related field
  • Minimum bachelor's degree in business administration, finance, accounting, data science or related field, or more than six years of related experience.ย 

Physical Requirements:

Frequent periods of sitting at a desk and working on a computer.

Must be able to lift 20 pounds at times.ย ย