Head of Quantitative Research and Investment Technology

Soros Fund Management•New York, NY

3d•$250,000 - $300,000

About The Position

The Head of Quantitative Research & Investment Technology will serve as a senior leader responsible for strengthening the firm’s research, portfolio construction, and risk analytics and front-office technology capabilities. This individual will partner closely with the Chief Investment Officer, Chief Risk Officer, and portfolio managers to enhance investment decision-making and risk management through rigorous quantitative frameworks, superior research architecture, and scalable analytical tools. The role will report to the Chief Technology Officer and is centered on creating quantitative models and technology infrastructure that drive how capital is allocated — across ideas, strategies, and risk — by embedding quantitative insight into the firm’s core investment processes.

Requirements

Advanced degree (PhD, MS, or equivalent) in Mathematics, Physics, Statistics, Engineering, or related quantitative discipline.
15+ years of experience in quantitative investing, portfolio construction, or risk analytics within a hedge fund, institutional asset manager, or bank.
Demonstrated success improving investment outcomes through quantitative frameworks.
Deep understanding of portfolio construction, capital allocation, and risk-adjusted return optimization.
Proven ability to build and lead quantitative and technical teams in close partnership with senior investors.
Experience across multiple asset classes or multi-strategy environments.
Familiarity with both discretionary and systematic investment processes.
Experience in building derivative pricing models and risk systems.
Expertise in factor modeling, Bayesian/statistical inference, and/or machine learning applications in investing.
Experience institutionalizing investment processes in a growing or evolving platform.

Responsibilities

Collaborate with discretionary and/or systematic PMs to develop quantitative models and analytics that enhance idea generation, security selection, and investment sizing.
Design and refine predictive models, factor research, relative value, and signal evaluation methodologies.
Integrate alternative data, machine learning techniques, and advanced statistical methods into the investment process where appropriate.
Improve research rigor, reproducibility, and performance attribution standards.
Develop and support Real-time PNL & Risk Systems
Enable pricing and risk management of securities and derivatives using in-house and vendor models
Partner with the Chief Investment Officer and Chief Risk Officer to design portfolio construction frameworks across strategies and asset classes.
Develop optimization tools that balance expected return, risk, liquidity, and diversification.
Improve sizing methodologies, drawdown management frameworks, and capital allocation discipline.
Implement systematic performance attribution and factor decomposition across portfolios.
Support firmwide capital allocation decisions through quantitative analysis and scenario modeling.
Work with the Chief Risk Officer and risk managers to enhance firmwide risk models, including factor models, scenario analysis, and stress testing.
Improve transparency into exposures (factor, thematic, liquidity, macro).
Build tools that allow PMs and risk managers to understand key drivers of risk and manage exposure limits
Architect and oversee a robust research environment that supports high-quality investment analysis and integrates market data, fundamentals, and alternative datasets.
Ensure analytical tools are intuitive, reliable, and embedded in daily investment workflows.
Establish best practices in model governance, version control, and validation.
Build and manage a high-performing team of quantitative researchers, data scientists, and investment technologists.
Promote a culture of intellectual rigor, transparency, and continuous improvement.
Serve as a thought partner to senior leadership on the evolution of the firm’s investment framework.
Recruit and mentor talent aligned with the firm’s long-term investment philosophy.