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