About Our Client:

We are seeking an experienced Chief Investment Officer to lead the build-out a high frequency quantitative trading team from the ground up. This is a unique opportunity to play a critical role in shaping our quantitative trading platform, strategy, and team structure. You will drive alpha generation, spearhead infrastructure development, and lead high-performing quant researchers, traders, and technologists.

Key Responsibilities:

• Team Leadership & Build-Out
  • Lead the hiring, onboarding, and mentoring of quantitative researchers, traders, and developers.
  • Define team structure, workflow, and performance benchmarks.
  • Foster a collaborative, innovative, and high-performance culture.
• Strategy Development & Execution
  • Design and implement systematic trading strategies across equities, futures, FX, and/or other asset classes.
  • Oversee full strategy lifecycle: signal generation, backtesting, risk modelling, execution, and post-trade analytics.
  • Evaluate and enhance existing models and research frameworks.
• Infrastructure & Tools
  • Partner with engineering teams to build robust, low-latency research and trading infrastructure.
  • Ensure tools and platforms are optimized for scalability, performance, and data integrity.
• Risk Management & Governance
  • Work closely with risk, compliance, and operations teams to ensure strategies adhere to risk parameters.
  • Monitor portfolio and execution risks in real-time and refine controls accordingly.
• Stakeholder Management
  • Communicate trading performance, risks, and developments to senior leadership.
  • Collaborate with cross-functional teams including operations, compliance, and IT.

Requirements:

• Proven Track Record: Extensive experience leading high-frequency trading (HFT) or systematic quant strategies, with a strong track record of consistent profitability.
• Alpha & Strategy Development: Expertise in designing, implementing, and scaling alpha-generating strategies across multiple asset classes (e.g., equities, futures, FX, digital assets).
• Technical Mastery: Strong background in quantitative research and technology; hands-on proficiency in programming languages such as Python, C++, or Java, and deep familiarity with low-latency infrastructure, execution algorithms, and backtesting frameworks.
• Risk & P&L Ownership: Demonstrated ability to manage firm-wide trading risk, portfolio construction, and P&L oversight, with strong grasp of performance attribution.
• Leadership & Team Building: Successful experience recruiting, mentoring, and managing high-performing teams of quant researchers, developers, and traders.
• Market Knowledge: In-depth understanding of global market microstructure, exchange connectivity, and electronic market-making dynamics.
• Governance & Compliance: Familiarity with regulatory frameworks applicable to high-frequency trading and electronic markets.
• Academic Foundation: Advanced degree (PhD or Master’s) in a quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Physics, Engineering).