Quantitative Researcher

Univerz HR Consulting Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Univerz HR Consulting Pte Ltd is seeking a hands-on quantitative investor to build and own a systematic equity platform from signal research to live trading in Singapore. You will collaborate with the fundamental team to translate discretionary insights into testable rules and scale strategies from paper to live capital.

The role requires leading-edge skills in statistics, factor modeling, and ML with strong Python prowess, plus autonomy to own investment outcomes and the underlying system.

Qualifications

• 6+ years of quantitative equity research or portfolio management experience.
• Experience taking strategies from idea generation to live trading.
• Strong background in statistics, factor modeling, ML, and Python.
• Hands-on experience in portfolio construction and risk management.
• Ability to work autonomously and own investment results and systems.
• Experience with long-only equities; market-neutral or derivatives experience is valuable.
• Mandarin and English bilingual capability is a plus.

Responsibilities

• Develop and maintain quantitative equity signals and the strategy
• 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

Skills

Quantitative research

Portfolio management

Python programming

Machine learning

Risk management

Autonomy

Investor communication

Tools

Claude Code

Job description

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
• 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