Chief Investment Officer

3 weeks ago


Singapore Empower Partners Singapore Full time

About the Role

We are seeking an experienced Chief Investment Officer to lead the build-out a 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.

Qualifications & Experience

  • Proven track record leading and scaling quant trading teams within a Hedge Fund, Investment Banks, Prop Trading Firm.
  • Deep expertise in alpha strategy development and systematic trading.
  • Strong programming skills in Python, C++, or similar; familiarity with data pipelines and backtesting frameworks.
  • Experience managing PnL and performance attribution.
  • Excellent interpersonal and leadership skills.
  • Advanced degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Physics, Engineering).

Application Process:

Interested candidates should submit their resume to Tina Wang at (HIDDEN TEXT), quoting the job title and reference number. Only shortlisted candidates will be contacted.

License No: 24S2395

Registration No: R

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