KKR Benefits Overview

Lead software engineering initiatives for investment systems, driving architecture, technical design, cross-functional execution, system reliability, and scalability. The role coordinates engineers and product stakeholders, removes delivery blockers, mentors team members, and delivers complex enterprise-grade platforms. Technologies include AWS, Python, FastAPI, React, PostgreSQL, Redis, Kestra, and PySpark.

Develop and enhance investment risk frameworks across public and private assets, structured products, real estate, alternatives, and derivatives. Build quantitative analytics, portfolio risk dashboards, stress tests, scenario analyses, reporting automation, and decision-support tools using Python, SQL, and AI-enabled technologies. Analyze capital, liquidity, credit, spread, concentration, valuation, regulatory, and legal-entity risks while partnering with Investments, ALM, Actuarial, Valuation, and senior leadership.

Supports client reporting for KKR’s Real Assets funds by sourcing, validating, and analyzing asset-, fund-, and investor-level performance data. Produces client presentations, marketing materials, ad hoc reports, and investor responses while collaborating with product, investment, portfolio management, finance, legal, risk, and operations teams. Monitors new investments and funds, contributes to data-quality improvements, and develops automation methods. The role requires strong analytical, financial markets, communication, organizational, and Microsoft Office skills.