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Executive Director – Head of Fixed Income Quantitative Research & Investment Ris

Madison-Davis, LLC, New York, NY, United States


Title:

Executive Director – Head of Fixed Income Quantitative Research & Investment Risk Office Status:

Hybrid – New York City Overview

A leading global investment platform is seeking a

senior quantitative leader

to head its

Fixed Income Quantitative Research and Investment Risk function

within the North American asset management business. This role oversees the development of advanced analytics and quantitative tools that support portfolio construction, strategy development, and investment decision-making across fixed income strategies. The position offers the opportunity to

lead a specialized quant team, partner directly with portfolio managers and traders, and influence the evolution of systematic analytics within a large institutional investment platform. Key Responsibilities

Lead and manage a

quantitative research and analytics team

supporting fixed income portfolio management and investment strategy development. Design, develop, and maintain

quantitative investment tools and analytical applications

used by portfolio managers and trading teams. Conduct advanced quantitative research to support

portfolio construction, relative value analysis, and risk mitigation strategies

across fixed income markets. Deliver detailed analysis on

portfolio performance, positioning, and risk exposures

to inform investment decisions. Partner with portfolio managers and traders to generate investment ideas, conduct

model back‑testing , and implement production‑ready analytical frameworks. Develop analytics to evaluate

market regimes, factor exposures, and portfolio trends

across global fixed income markets. Lead in-depth analysis on internal and external investment strategies to support

investment oversight, governance, and due diligence processes . Oversee

performance attribution, portfolio risk monitoring, and exposure analysis

for institutional investment portfolios. Drive the use of

advanced data analytics and emerging technologies , including machine learning techniques and alternative data sources, to enhance the investment process. Improve operational efficiency by

automating recurring analytics, enhancing reporting capabilities, and building scalable quantitative infrastructure .

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