Operations- Performance Analytics- AVP

Careers at KKR; Gurugram District; Hybrid; INR 600,000 - 900,000; Full time

Job summary

KKR in Gurugram is hiring for an AVP in the Data Operations CoE to lead Performance Analytics. You will own performance modeling, calculation logic, and reporting across private equity, credit, real assets, and infrastructure strategies.

This hands-on leadership role requires building models, writing code, and guiding a small team of analysts, shaping data strategy and analytical rigor for investment teams and senior management.

Qualifications

• 7 to 10 years of experience in performance analytics, investment analytics, or a closely related quantitative function.
• Substantial private markets experience is required.
• Exposure to credit, particularly private credit, is a strong advantage.
• Hands-on leader who can build models and write code.
• Experience leading a small team of analysts and associates.

Responsibilities

• Own design, documentation, and maintenance of performance calculation logic across asset classes.
• Produce and interpret performance at fund, deal, asset, investor, and share class levels.
• Reconcile outputs to accounting sources and establish controls to catch variances.
• Build attribution frameworks and conduct benchmarking and public market equivalents analysis.
• Support credit performance analytics with yield, spread, loss, and recovery analysis.
• Deliver recurring and ad hoc reporting and automate pipelines with version control.
• Lead a team of about three analysts and associates, setting standards and mentoring.

Skills

Performance analytics

Investment analytics

Quantitative analysis

Team leadership

Coding / modeling

Job description

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.

KKR’s Gurugram office provides best in class services and solutions to our internal stakeholders and clients, drives organization wide process efficiency and transformation, and reflect KKR’s global culture and values of teamwork and innovation. The office will contain multifunctional business capabilities and will be integral in furthering the growth and transformation of KKR.

POSITION SUMMARY

KKR is hiring for an enterprise Data Operations group to collect, manage, and harness the power of data across our diverse business activities. The Data Operations Center of Excellence (CoE) is a cross-functional team dedicated to formulating and driving KKR’s enterprise data strategy while also providing the operating leverage required to bring these strategies and frameworks to life.

We are hiring an AVP to lead the Performance Analytics function within the Data Operations CoE. This individual will own how fund, deal, and investor‑level performance is modeled, calculated, validated, and reported across KKR’s private equity, credit, real assets, and infrastructure strategies. The role is accountable both for the underlying calculation logic, including methodology, mechanics, and documentation, and for the reporting and analysis delivered on top of it to investment teams, senior management, Finance, and Global Client Solutions.

This is a hands‑on leadership position. The successful candidate will personally build models and write code while also leading a team of approximately three analysts and associates, setting technical standards, reviewing work, and developing junior talent. We are looking for a practitioner who is credible in the details of performance measurement and equally comfortable explaining a result to a senior stakeholder who wants to know why a number moved.The ideal candidate brings 7 to 10 years of experience in performance analytics, investment analytics, or a closely related quantitative function, with substantial private markets experience. Exposure to credit, particularly private credit, is a strong advantage given the growth of that business.

We are operating in a 4-day in office, 1-day flexible work arrangement.

ROLE AND RESPONSIBILITIES

• Performance Methodology & Model Ownership: Own the design, documentation, and ongoing maintenance of KKR’s performance calculation logic across asset classes, including gross and net IRR, MOIC, TVPI, DPI, RVPI, invested and returned capital, Dollars at Work, and levered versus unlevered return treatment. Define and defend methodology choices, including fee and waterfall mechanics, cash flow timing conventions, FX treatment, and hedged versus unhedged presentation.
• Multi‑Level Performance Analytics: Produce and interpret performance at fund, deal, asset, investor, and share class or series level, ensuring results are internally consistent and reconcilable as they roll up and drill down.
• Reconciliation & Data Integrity: Reconcile performance outputs to accounting and fund administrator sources of truth, investigate and resolve variances, and establish controls that catch breaks before they reach stakeholders. Consume administrator and system‑calculated figures where appropriate while maintaining independent validation.
• Attribution & Benchmarking : Build attribution frameworks that explain drivers of return and deliver benchmarking and public market equivalent analysis to contextualize fund and strategy performance.
• Credit Performance Analytics : Support credit and private credit strategies with the metrics that discipline requires, including yield, spread, loss and recovery analysis, and average funded balance measurement.
• Reporting & Automation: Deliver recurring and ad hoc performance reporting for investment teams, senior management, Finance, and Investor Relations, including investor‑facing material. Replace manual processes with automated, tested, and version‑controlled pipelines that are transparent and easy to verify.
• Team Leadership & Mentorship: Lead a team of approximately three analysts and associates. Set analytical and coding standards, review outputs, prioritize workload, and actively develop the technical and domain skills of junior staff.
• Stakeholder Partnership: Serve as the trusted point of contact for performance questions across the firm, translating