Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

Associate, Credit & Insurance Portfolio Construction

Careers at KKR
CompanyCareers at KKR
CategoryConstruction & Trades
LocationNew York
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted28 Feb 2026
Last verified11 Aug 2026
SourceEmployer ATS (greenhouse)
Applications are handled by the employer, not by us.Apply on the employer's site →
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. POSITION SUMMARY KKR is seeking an experienced quantitative investment professional, at the Analyst/Associate level, to join its Portfolio Construction team which is responsible for the following:   Formulating investment-oriented portfolio construction recommendations for KKR’s portfolios with $720bn+ AUM Monitoring and managing risk across KKR Private Market and Credit portfolios and sharing insights with senior investors and C-level firm management Providing asset allocation recommendations for various multi-asset portfolio client initiatives including KKR strategic partnerships, multi-asset structured products, and allocation-based marketing efforts The successful candidate for this role will be focused on portfolio construction initiatives across KKR’s Credit portfolios, along with asset allocation for KKR’s multi-asset mandates internally and externally.  In this high visibility role, the successful candidate will interact frequently with KKR senior management and will therefore be expected to synthesize information clearly.  They will also be tasked with contributing to proprietary models in asset classes where there are fewer industry-level standards, requiring someone who is capable of being creative and thinking outside the box.  In general, the successful candidate must be highly technical, while also being collaborative as a member of this high-performance team. This position is based in New York.  RESPONSIBILITIES Help prepare portfolio construction recommendations for Credit funds for Portfolio Management Committees across the Americas, Europe and Asia Provide support on fund modeling to understand drivers of historical and projected performance, risk exposures and economic sensitivities Monitor portfolios closely and assist with portfolio analytics using quantitative and qualitative approaches, coordinating with deal teams, client partners group, operations, and finance colleagues while ensuring data integrity Demonstrate working knowledge of financial markets ideally in Credit or Fixed Income, and assist with tracking the latest market development and providing updates / actionable recommendations to Portfolio Managers Help communicate risk concerns efficiently and prepare presentations for Portfolio Managers / Investment Committees Help manage and enhance quantitative asset allocation models for KKR’s various multi-asset portfolios and KKR’s Balance Sheet Think creatively about solutions to structure multi-fund investments and be able to simulate scenarios and explain outcomes Maintain and continue to improve upon customized models tailored to the firm’s investment process and risk framework; work closely with dedicated IT resources to automate and institutionalize these models Serve as a quantitative resource for the larger firm, evaluating existing resources and recommending improvements in models and technology, leveraging AI capabilities IDEAL EXPERIENCE 1-3 years of experience related to Fixed Income or Credit (High Yield, Loans, Structured Products, Private Credit) Strong programming skills in a structured language (Python preferred) and strong proficiency in Microsoft Office Products