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Internship Credit Risk Modeling Jobs in New York

Careers at KKR

VP, Credit Risk Modeling

New York, NY

$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 ...

Careers at KKR

VP, Credit Risk Modeling

New York, NY ยท 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 ...

IDBNY

Credit Risk Analytics & Modeling

Manhattan, NY ยท On-site

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 ...

Made Card

Credit Risk Manager

New York, NY ยท 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 ...

Made Card

Credit Risk Manager

New York, NY ยท 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 ...

Gauntlet

Credit Risk Analyst

New York, NY ยท On-site +1

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 ...

Gauntlet

Credit Risk Analyst

New York, NY

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 ...

Promantis Inc

Credit Risk Strategy Manager

Manhattan, NY ยท On-site

... credit risk models and decision frameworks using advanced statistical and analytical techniques. ยท Deliver MIS reports, dashboards, and performance reviews to monitor portfolio trends, assess ...

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Internship Credit Risk Modeling information

What are the key skills and qualifications needed to thrive as an Internship Credit Risk Modeling, and why are they important?

To thrive as an Internship Credit Risk Modeling, you generally need strong quantitative and analytical skills, a background in finance, statistics, or a related field, and familiarity with risk concepts. Experience with statistical programming languages such as Python, R, or SAS, and proficiency in Excel or SQL, are commonly required, and relevant coursework or certifications in risk management or data analysis are advantageous. Attention to detail, critical thinking, and effective communication help interns stand out when interpreting data and presenting risk findings. These skills are important to ensure accurate risk assessments, support data-driven decision-making, and facilitate collaboration within financial institutions.

What types of projects or tasks can I expect to work on during an Internship in Credit Risk Modeling?

As an intern in Credit Risk Modeling, you'll typically assist with statistical analysis, data preparation, and validation of risk models used by the organization to evaluate creditworthiness. You may support senior analysts in building or refining predictive models using programming languages like Python or R, and work with large datasets to uncover trends in borrower behavior. Interns often collaborate with risk analysts, data scientists, and IT teams, gaining exposure to both technical and business perspectives. This hands-on experience helps build a solid foundation for a future career in quantitative finance or risk management.

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

AspectInternship Credit Risk ModelingCredit Risk Analyst
CredentialsTypically pursuing or recent graduate, some familiarity with finance or statisticsBachelor's degree in finance, economics, or related field; often requires some experience
Work EnvironmentInternship setting, supervised, project-basedFull-time, professional environment, more independent responsibilities
Industry UsageEntry-level, educational focus, training periodCore role in financial institutions, ongoing risk assessment

Internship Credit Risk Modeling positions are designed for students or recent graduates gaining initial experience, often with supervised tasks. Credit Risk Analysts are experienced professionals responsible for ongoing risk evaluation, requiring more advanced skills and independence. The internship serves as a training ground, while the analyst role involves continuous risk management in financial institutions.

What is an Internship in Credit Risk Modeling?

An Internship in Credit Risk Modeling is a temporary position, usually for students or recent graduates, where you work with financial institutions to understand and help develop models that predict the likelihood of borrowers defaulting on loans. Interns typically assist in analyzing data, building statistical models, and supporting risk assessment processes. This role provides hands-on experience with financial data, programming, and model validation, making it valuable for those interested in finance, statistics, or data science. It also offers exposure to regulatory requirements and real-world risk management practices.
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 Internship Credit Risk Modeling jobs in New York? For Internship Credit Risk Modeling jobs in New York, the most frequently searched job titles are:
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What cities in New York are hiring for Internship Credit Risk Modeling jobs? Cities in New York with the most Internship Credit Risk Modeling job openings:
Internship Credit Risk Modeling jobs near you

VP, Credit Risk Modeling

Careers at KKR

New York, NY

$160K - $175K/yr

Other

Posted 16 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.ย  Base Salary Rangeย  ย -ย  $160,000 to $175,000
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