Senior Investment Risk Analyst — AI-Driven Analytics

Stage; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

KKR is seeking an experienced Investment Risk professional in New York to measure, monitor, and communicate asset-side risk across the enterprise. You will translate portfolio questions into practical models, dashboards, and decision-support tools, collaborating with Investments and ALM teams.

The role emphasizes building automated analytics, leveraging Python/SQL and AI-enabled tools, and delivering clear analyses for committees and senior management.

Qualifications

• 6+ years of relevant experience in investment risk, portfolio management/analytics, asset management, insurance, fixed income, structured credit, quantitative research, data science, or a related field.
• Bachelor’s or Master’s degree in Mathematics, Economics, Engineering, Computer Science, or another quantitative discipline.
• Advanced hands-on Python and SQL skills, with experience building analytical tools, automated reports, data pipelines, dashboards, or quantitative models.
• Strong knowledge of investments and risk drivers across fixed income and equity-like assets; experience with insurance portfolios and structured credit is preferred.
• Ability to work with large, multi-source datasets and reconcile analysis to multiple reporting sources.
• Strong communication skills to explain technical analysis to diverse stakeholders.
• Results-oriented, curious, collaborative, and able to operate in a fast-paced environment with evolving priorities.

Responsibilities

• Design and enhance portfolio risk monitoring frameworks across asset classes including credit, structured products, mortgage, real estate, alternatives, derivatives, and insurance-relevant assets.
• Build integrated risk views by asset class, entity, rating, sector, geography, liquidity tier, capital usage, and cross-asset risk factors.
• Develop quantitative analytics for credit, spread, interest rate, liquidity, capital, concentration, valuation, and regulatory risk.
• Support pro forma risk analysis of future investments on capital, liquidity, ALM, expected loss, and risk-adjusted return.
• Conduct scenario analysis and stress testing for various risk factors including credit cycles and regulatory changes.
• Automate risk reporting and controls using Python, SQL, and AI-enabled tools.
• Develop tools and dashboards for risk appetite, limits, watchlists, and senior management reporting.
• Apply AI to improve document review, data quality checks, and reporting workflows with governance.
• Prepare analyses and materials for Investment Committee and Board discussions.
• Partner with Investments, Portfolio Construction, ALM/Actuarial, and Valuation teams to connect asset-level analysis to enterprise risk decisions.

Skills

Python

SQL

Portfolio risk analytics

Communication skills

Risk management

Quantitative analysis

Stress testing

Data integration

Education

Bachelor’s or Master’s in a quantitative field

Tools

SQL

Job description

KKR is seeking an experienced Investment Risk professional in New York to measure, monitor, and communicate asset-side risk across the enterprise. You will translate portfolio questions into practical models, dashboards, and decision-support tools, collaborating with Investments and ALM teams.

The role emphasizes building automated analytics, leveraging Python/SQL and AI-enabled tools, and delivering clear analyses for committees and senior management.