Quantitative Researcher

Recruitment Position: Senior Quantitative Researcher / Quantitative Portfolio Manager— Family Office (Singapore)

Job Recruitment No : U5969

Reports to: CIO | Mandate: Long-only systematic strategy, built from scratch

We are looking for a hands-on quantitative investor to build and own a systematic equity investment platform from the ground up — from signal research and back testing through portfolio construction, risk management, paper trading, and ultimately live capital deployment.

The role will also work closely with our fundamental investment team to translate discretionary investment insights into systematic, testable, and scalable rules.

New strategies will initially run in paper trading. Once they meet clearly defined validation and risk criteria, capital will be allocated progressively to live trading.

Responsibilities

Develop and maintain quantitative equity signals and the strategy

Own the full investment process: research → backtest → portfolio construction → paper trading → live implementation

Run and monitor paper trading; define go/no-go criteria for live capital allocation

Define validation metrics and go/no-go criteria for moving strategies from paper to live capital

Monitor live strategies and continuously evaluate signal decay, portfolio risk, and performance attribution

Partner with fundamental analysts to convert investment judgment into quantifiable and backtestable rules

Use AI coding and research agents to accelerate research, coding, data processing, and infrastructure development

Report performance, validation results, risks, and strategy pipeline directly to the CIO

Requirements

6+ years of quantitative equity research / quantitative portfolio management experience

Demonstrated experience taking strategies through the full lifecycle from idea generation to live implementation

Strong background in statistics, factor modeling, machine learning, and Python

Hands-on experience in portfolio construction and risk management, not signal research alone

Comfortable operating with significant autonomy and taking ownership of both investment results and the underlying system

Experience with long-only equities preferred; market-neutral or derivatives experience is also valuable

Ability to work with fundamental investors and translate qualitative investment views into systematic rules

Comfortable using AI coding/research tools such as Claude Code, or similar

Strong intellectual curiosity, practical judgment, and a bias toward execution

Mandarin / English bilingual capability is a plus