KKR Logo

KKR

VP, Credit Risk Modeling

Reposted One Month Ago
Be an Early Applicant
In-Office
New York, NY, USA
160K-175K Annually
Senior level
In-Office
New York, NY, USA
160K-175K Annually
Senior level
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.
The summary above was generated by AI

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.

HQ

KKR New York, New York, USA Office

30 Hudson Yards, New York, NY, United States, 10001

Similar Jobs

11 Minutes Ago
In-Office or Remote
2 Locations
246K-315K Annually
Senior level
246K-315K Annually
Senior level
Artificial Intelligence • Hardware • Healthtech • Software
Own the strategy, packaging, pricing, billing, adoption, and ROI of Assisted Living and Memory Care products. Partner with ML, data, hardware, software, platform, and finance teams to improve AI model quality, alert reliability, location accuracy, voice experiences, resident baselines, and EHR-connected care insights. Lead customer discovery, monetization validation, roadmap development, and outcome measurement for complex B2B healthcare technology products.
Top Skills: Ai/Ml ModelsEhr IntegrationsLlmsReal-Time Device Data
12 Minutes Ago
Remote or Hybrid
US
153K-195K Annually
Senior level
153K-195K Annually
Senior level
HR Tech • Information Technology • Professional Services • Sales • Software
Leads HiBob’s Americas Customer Growth organization across account management and renewals. Owns expansion ARR, upsell, cross-sell, renewal uplift, NRR, forecasting, pipeline creation, and quota attainment across the existing customer base. Develops managers and commercial teams, establishes operating rhythms, applies Salesforce, Clari, AI, automation, and MEDDPICC, and partners cross-functionally to drive retention and scalable revenue growth across the US, Canada, and Latin America.
Top Skills: ClariSalesforce
14 Minutes Ago
In-Office
New York, NY, USA
Junior
Junior
Software • Hospitality
Oversee daily in-room dining operations, supervise and mentor approximately 30 team members, maintain guest service and product quality standards, address guest concerns, support scheduling, drive room service sales through upselling and marketing initiatives, and ensure compliance with health, safety, sanitation, and alcohol regulations.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account