VP, Credit Risk Modeling

Growth Equity Interview Guide; New York (NY); On-site; USD 250,000 - 450,000; Full time

Job summary

KKR is seeking a VP of Credit Risk Modeling to lead the development of credit risk models and strengthen portfolio risk management. You will collaborate with cross-functional teams to implement robust risk strategies and present insights to senior leadership.

You will analyze data to identify trends, continuously improve modeling methodologies, and communicate complex results clearly. Proficiency in Python or R is required.

Qualifications

• Strong background in credit risk modeling and analytics.
• Experience with statistical modeling techniques and tools.
• Ability to interpret complex data and provide actionable insights.
• Excellent communication skills for presenting findings to stakeholders.
• Proficiency in programming languages such as Python or R.

Responsibilities

• Lead the development of credit risk models to assess portfolio risk.
• Collaborate with cross-functional teams to implement risk strategies.
• Analyze data to identify trends and potential risks.
• Present findings and recommendations to senior management.
• Continuously improve modeling processes and methodologies.

Skills

Credit risk modeling

Analytics

Data interpretation

Communication

Python

R

Stakeholder communication

Tools

Python

R

Job description

The VP of Credit Risk Modeling at KKR will play a crucial role in developing and implementing credit risk models. This position requires a strong analytical background and the ability to communicate insights effectively. You will work closely with various teams to enhance risk management strategies and contribute to the firm’s overall success.

What You’ll Do

• Lead the development of credit risk models to assess portfolio risk.
• Collaborate with cross-functional teams to implement risk strategies.
• Analyze data to identify trends and potential risks.
• Present findings and recommendations to senior management.
• Continuously improve modeling processes and methodologies.

What You Need

• Strong background in credit risk modeling and analytics.
• Experience with statistical modeling techniques and tools.
• Ability to interpret complex data and provide actionable insights.
• Excellent communication skills for presenting findings to stakeholders.
• Proficiency in programming languages such as Python or R.
• Experience in financial services or investment management is a plus.

What You’ll Love

• Work in a dynamic and collaborative environment.
• Opportunity to influence key business decisions.
• Access to professional development and training resources.
• Competitive compensation and benefits package.

About the Firm

• KKR is a leading global investment firm founded in 1976.
• They focus on delivering better outcomes for clients through innovative solutions.
• The firm values sustainability and shared success.