About the Firm

A newly established quantitative hedge fund in New York is seeking a Chief Technology Officer (CTO) to build and lead its technology strategy. The firm is backed by experienced industry professionals and is focused on leveraging cutting-edge technology and data-driven strategies to generate alpha in global markets.

Role Overview

The CTO will be responsible for designing, implementing, and maintaining the firm’s technology infrastructure, ensuring high-performance trading, data management, and security. This is a hands-on leadership role requiring deep technical expertise in quantitative trading systems, market data infrastructure, and cloud computing, alongside strategic vision for scaling a technology-driven hedge fund.

Key Responsibilities

Architect and develop the fund’s technology stack, including trading infrastructure, market data pipelines, and risk management systems.
Lead the design and implementation of trading systems.
Oversee the development and optimization of proprietary research and data analytics platforms.
Ensure robust cybersecurity and regulatory compliance across all technology functions.
Build and manage a high-performance technology team, including engineers, data scientists, and quant developers.
Collaborate closely with portfolio managers, researchers, and traders to enhance trading strategies and execution capabilities.
Identify and integrate emerging technologies, such as machine learning and alternative data sources, to drive innovation.
Develop scalable and resilient cloud and on-premise computing solutions to support real-time and historical data analysis.
Establish best practices for software development, infrastructure monitoring, and system reliability.

Key Qualifications & Experience

10+ years of experience in technology leadership roles within quantitative hedge funds, proprietary trading firms, or high-frequency trading (HFT) firms.
Strong expertise in designing and managing trading infrastructure, including execution and order management systems (OMS/EMS).
Deep understanding of low-latency networking, distributed computing, and algorithmic trading architectures.
Proficiency in programming languages such as Python and C++.
Experience in managing systematic trading systems and data platforms.
Strong leadership skills with a track record of hiring, mentoring, and developing top engineering talent.
Ability to work in a fast-paced, high-pressure environment with a focus on innovation and execution.

Preferred Qualifications

Experience in machine learning and AI-driven trading strategies.
Familiarity with FPGA acceleration, GPU computing, and hardware optimization.
Previous experience in a start-up or greenfield hedge fund environment.

Compensation & Benefits

Highly competitive base salary with performance-based bonuses.
Equity or profit-sharing potential for key leadership hires.
Opportunity to shape and lead the technology function of a high-growth investment firm.

Point One - Hedge Fund Talent

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