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Freelance Credit Risk Modeling Jobs in New York (NOW HIRING)

Build and own portfolio credit risk models that quantify tail losses from default and rating migration across asset classes * Develop a credit risk framework: calibrate transition matrices, model ...

VP, Credit Risk Modeling

New York, NY · On-site

$160K - $175K/yr

Build and own portfolio credit risk models that quantify tail losses from default and rating migration across asset classes * Develop a credit risk framework: calibrate transition matrices, model ...

Head of Credit Risk Analytics & Modeling Visa Sponsorship: Not available About IDB Bank For more than 70 years, IDB Bank has been committed to delivering exceptional service and building long-term ...

Credit Risk Manager

New York, NY · Remote

$100K - $110K/yr

Model Decisioning: Build, own, and continuously improve credit risk models, decision thresholds, and cutoffs. * Portfolio Performance: Develop and monitor KPIs, analyze trends, and deliver actionable ...

Credit Risk Manager

New York, NY · On-site

$100K - $110K/yr

Model Decisioning: Build, own, and continuously improve credit risk models, decision thresholds, and cutoffs. * Portfolio Performance: Develop and monitor KPIs, analyze trends, and deliver actionable ...

This is not a seat where you inherit a model and press run. You will define the underwriting ... The role The Credit Risk team runs due diligence on the assets, protocols, and chains supported by ...

This is not a seat where you inherit a model and press run. You will define the underwriting ... The role The Credit Risk team runs due diligence on the assets, protocols, and chains supported by ...

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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.

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.

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 most commonly searched types of Credit Risk Modeling jobs in New York? The most popular types of Credit Risk Modeling jobs in New York are:
What are popular job titles related to Freelance Credit Risk Modeling jobs in New York? For Freelance Credit Risk Modeling jobs in New York, the most frequently searched job titles are:
What job categories do people searching Freelance Credit Risk Modeling jobs in New York look for? The top searched job categories for Freelance Credit Risk Modeling jobs in New York are:
What cities in New York are hiring for Freelance Credit Risk Modeling jobs? Cities in New York with the most Freelance Credit Risk Modeling job openings:
Infographic showing various Freelance Credit Risk Modeling job openings in New York as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

$160K - $175K/yr

Other

Posted 27 days ago


Job description

The Opportunity

Global Atlantic, a KKR company, is one of the largest insurance and reinsurance platforms in Bermuda, managing over $110 billion across multiple entities. As the portfolio grows in scale and complexity - spanning structured credit, mortgage loans, corporate bonds, and alternative assets - we are investing in a dedicated credit modeling capability to help the firm understand and quantify tail credit risk across the full investment book. This VP role will lead the development of models that measure portfolio-level default and downgrade exposure, inform capital allocation, and strengthen our risk framework.

Responsibilities:

  • Build and own portfolio credit risk models that quantify tail losses from default and rating migration across asset classes
  • Develop a credit risk framework: calibrate transition matrices, model correlated credit migration, and produce full loss distributions to measure tail risk at the portfolio level
  • Calibrate asset-class-specific inputs - transition probabilities, loss given default, recovery rates, and credit spreads
  • Translate model outputs into actionable capital metrics: compute expected loss, cost of downgrade, and tail risk measures by rating and tenor to support portfolio construction, and limit-setting decisions
  • Build production-quality Python pipelines for model execution, data processing, and automated reporting; deliver clear visualizations and summaries for senior leadership and the Board
  • Partner with investment teams, and finance to embed credit risk analytics into portfolio monitoring, stress testing, and strategic asset allocation

Qualifications Required:

  • 8-12 years in credit risk modeling, quantitative finance, or insurance capital modeling.
  • Deep expertise in portfolio credit risk frameworks - transition matrices, Monte Carlo simulation, correlated default modeling, and tail risk measurement.
  • Production-quality Python skills.
  • Experience calibrating and validating credit models.
  • Strong written communication for technical and executive audiences.
  • Comprehensive user of AI tools.

Preferred:

  • Insurance regulatory capital experience (Bermuda, Solvency II, or NAIC RBC).
  • Structured credit modeling (CLO engines, CMBS/RMBS loss models).
This is the expected annual base salary range for this New York-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.  Base Salary Range   -  $160,000 to $175,000
 
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