AI Team Lead: Systematic Equities (US & Global Equities) $1-1.5 Million Basic, Plus Sign On Bonus and Benefits

AI Team Lead: Systematic Equities

The opportunity

Our client is building a global proprietary trading business on top of a proven, multi-year trading system. This role reports directly to the founder and has real authority to build the team, hire key people and set the AI/equities research direction.

Mandate

Research global equities, or focus on US or APAC.
Lead research from data and hypothesis through modelling, simulation, portfolio integration and production deployment.
Set standards for validation, data quality, costs and realizability, and work with quant developers and technology colleagues to make models production-ready.

Authority and profile
Define the research roadmap and priorities for data, compute and engineering.
Design the team, identify skill gaps and participate directly in hiring.
ETF experience is relevant, but ETF-only experience does not guarantee progression; the core mandate is systematic equity trading.
Strong systematic-equities experience with meaningful AI/ML ownership and evidence of research reaching production.
A current Lead title is helpful but not required; exceptional Senior Researchers and Senior Quants ready to build a team are welcome.
Mandarin is required.
Must come from a top prop trading hedge fund firm.

Why this role?

Real build mandate: direct founder access and ownership of team formation, hiring and research direction.
Short, collaborative decision path: research, engineering and trading work in a centralized environment rather than isolated silos.
Research at scale: access to a lab environment with more than 1,000 GPUs per person for large-scale AI research.
Competitive package and location choice: Shanghai, Hong Kong, Singapore or the United States, with relocation support; compensation aligns with top US and global packages.

Our client is looking for credible systematic-equities leaders or strong Senior candidates with the judgement and appetite to build a team. Pure AI lab managers without trading research ownership are not the targets