ZipRecruiter

Log In

1

Hourly Credit Risk Modeling Jobs in Manhattan, NY

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 ...

KKR

VP, Credit Risk Modeling

Manhattan, NY · On-site

$160K - $175K/yr

VP, Credit Risk Modeling New York, New York, United States KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR ...

Careers at KKR

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 ...

IDBNY

Credit Risk Analytics & Modeling

Manhattan, NY · 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 ...

Coast

Senior Credit Risk Analyst

New York, NY · On-site +1

$90K - $140K/yr

... credit risk operations by building decision frameworks and supporting risk ... modeling. - Conduct data-driven investigations into potential fraud incidents such as identity ...

Made Card

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 ...

Made Card

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 ...

Gauntlet

Credit Risk Researcher

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 ...

Gauntlet

Credit Risk Researcher

New York, NY · 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 ...

Barclays

AVP, Credit Risk Reporting

Whippany, NJ · On-site

Extraction of risk data from various sources, including internal systems, risk models, and external ... base hourly rate. It does not include any other type of compensation or benefits that may be ...

Ramp

Credit Risk Associate

New York, NY · On-site

$108K - $200K/yr

Own credit risk strategy for areas like model prototyping, credit limits, payment speed, collections, etc. * Use SQL, quantitative reasoning, and credit risk judgment to investigate patterns, size ...

next page

Showing results 1-20

All JobsHourly Credit Risk Modeling JobsHourly Credit Risk Modeling Jobs in Manhattan, NY

Hourly Credit Risk Modeling information

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.

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 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.

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 are the most commonly searched types of Credit Risk Modeling jobs in Manhattan, NY?

The most popular types of Credit Risk Modeling jobs in Manhattan, NY are:

What are popular job titles related to Hourly Credit Risk Modeling jobs in Manhattan, NY?

For Hourly Credit Risk Modeling jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Hourly Credit Risk Modeling jobs in Manhattan, NY look for?

The top searched job categories for Hourly Credit Risk Modeling jobs in Manhattan, NY are:

What cities near Manhattan, NY are hiring for Hourly Credit Risk Modeling jobs?

Cities near Manhattan, NY with the most Hourly Credit Risk Modeling job openings:

Hourly Credit Risk Modeling jobs near you
Infographic showing various Hourly Credit Risk Modeling job openings in Manhattan, NY as of August 2026, with employment types broken down into 1% As Needed, 52% Full Time, 41% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution.

VP, Credit Risk Modeling

Careers at KKR

New York, NY

$160K - $175K/yr

Full-time

Re-posted 2 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
 
#LI-Onsite

Apply