VP, Credit Risk Modeling

Posted 9 Days Ago
Be an Early Applicant
New York, NY, USA
In-Office
160K-175K Annually
Senior level
Insurance • Financial Services
The Role
Lead development of portfolio credit risk models to quantify tail losses from defaults and rating migrations across asset classes. Calibrate transition matrices, correlated migration, LGD/recovery inputs, and produce loss distributions. Build production Python pipelines, generate capital and tail-risk metrics to inform portfolio construction, limits, and stress testing, and partner with investment and finance teams to embed analytics into monitoring and reporting.
Summary Generated by Built In

COMPANY OVERVIEW

KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.

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

KKR is an equal opportunity employer.  Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email [email protected]. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.kkr.com/careers because of your disability. You can request reasonable accommodations by sending an email to [email protected]. Only emails left for this purpose will be returned.

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.

Skills Required

  • 8-12 years in credit risk modeling, quantitative finance, or insurance capital modeling
  • Deep expertise in portfolio credit risk frameworks including transition matrices, Monte Carlo simulation, correlated default/migration, and tail risk measurement
  • Production-quality Python skills and ability to build model execution and data pipelines
  • Experience calibrating and validating credit models
  • Strong written communication for technical and executive audiences
  • Comprehensive user of AI tools
  • Insurance regulatory capital experience (Bermuda, Solvency II, or NAIC RBC)
  • Structured credit modeling experience (CLO engines, CMBS/RMBS loss models)

KKR Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KKR and has not been reviewed or approved by KKR.

  • Fair & Transparent Compensation Pay is considered strong and often characterized as fair, with a success‑based model intended to tie rewards to realized performance. Feedback suggests this structure improves clarity around how outcomes influence compensation.
  • Equity Value & Accessibility Broad‑based employee ownership is emphasized, giving team members access to options, RSUs, and portfolio‑company equity programs that can yield meaningful upside. This approach is positioned as additional value without trading off wages or core benefits.
  • Healthcare Strength Health coverage is described as comprehensive, with standout elements like an on‑site wellness center at the New York headquarters offering primary care, mental health, and preventive services. Wellness programs, nutrition support, and EAP resources further reinforce a robust health offering.

KKR Insights

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The Company
HQ: New York, NY
3,705 Employees
Year Founded: 1976

What We Do

KKR is a leading global investment firm that offers alternative asset management and capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of The Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. For additional information about KKR & Co. Inc. (NYSE: KKR), please visit KKR’s website at www.kkr.com and on Twitter @KKR_Co.

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