Chief Investment Officer

2 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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