KKR

3 weeks ago

Quantitative Investment Risk Professional

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Build and enhance enterprise portfolio risk monitoring across public/private credit, structured products, real estate exposures, alternatives, derivatives, and insurance-relevant assets. Develop quantitative analytics and scenario/stress testing for rates, spreads, liquidity, capital, concentration, valuation, and regulatory/legal-entity risk. Automate recurring risk reporting and controls with Python/SQL and AI-enabled tools, create dashboards for risk appetite and limit utilization, and present insights to Investment Committee and senior leadership.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Capital Markets, Trading & Quant

Seniority: Mid level

Key Responsibilities

•Design and enhance portfolio risk monitoring frameworks across multiple asset classes, including structured products and insurance-relevant exposures.
•Build integrated risk views consolidating exposures by asset class, entity, rating, sector, geography, liquidity tier, and capital usage.
•Develop quantitative analytics for credit, spread, interest rate, liquidity, capital, concentration, valuation, regulatory, and legal-entity risk.
•Conduct pro forma risk analysis and scenario analysis/stress testing for recession, higher-for-longer rates, CRE refinancing, liquidity stress, FX collateral stress, and regulatory capital changes.
•Automate risk reporting and controls using Python/SQL and AI-enabled tools; create dashboards for risk appetite monitoring and limit utilization and present findings to senior stakeholders.

Pay and Benefits

Salary: USD 150,000 - 200,000 annually

Key Requirements

•6+ years of experience in investment risk, portfolio analytics, asset management, insurance, fixed income, structured credit, quantitative research, data science, or related work.
•Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Finance, Economics, or another quantitative discipline.
•Advanced hands-on Python and SQL skills building analytical tools, automated reports, data pipelines, dashboards, or quantitative models.
•Strong quantitative foundation including stress testing, scenario analysis, statistical modeling, portfolio risk measurement, cash-flow modeling, optimization, or capital/liquidity analytics.
•Experience working with large, imperfect, multi-source datasets and reconciling analysis to investment, accounting, statutory, or risk reporting sources.

Experience:6+ yearsInvestment riskPortfolio analyticsAsset managementInsuranceFixed incomeStructured creditData scienceQuantitative research

Education:Master's

Skills:CommunicationCollaborationIntellectually curiousSelf-motivatedResults-oriented

Languages:English

Tech Stack:PythonSQLAILarge language modelsDashboardsData pipelinesAutomation

Company Brief

KKR

Global investment firm providing alternative asset management and capital markets services across private equity, credit, real assets, and hedge funds, serving institutional and private clients worldwide.

Industry: Asset Management

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 1976

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

KKR