Quant jobs / Olive Asset Management

AI ETF Investment Manager / ETF Portfolio Manager

Manage ETFs and develop AI-assisted investment strategies at Olive Asset Management. The role covers index research, factor selection, allocation and portfolio implementation.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Construct and rebalance ETF portfolios while controlling tracking error.
Research factors, rotation rules and index enhancements.
Analyse performance, liquidity and portfolio risks.

What they ask for

Required

ETF and index-investment knowledge
Portfolio management experience
Investment research
Risk discipline
English and Chinese communication

Preferred

Python, SQL or R
AI and alternative-data research
Hong Kong licensing and ETF launches

Education: Bachelor’s or higher in finance, economics or a STEM subject; master’s preferred.
Experience: At least 5 years in ETFs, index investing, portfolio management or related investment work.
Markets: equities, fixed-income, multi-asset

How to prepare

Reconstruct an ETF portfolio and measure tracking error.
Backtest a factor or sector-rotation strategy with costs.
Test an AI-derived investment signal against a transparent baseline.

What to study

The Portfolio and Factor Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Olive Asset Management’s site before applying: requirements, location and pay can change after we check them.

View the posting on Olive Asset Management’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Olive Asset Management and doesn’t handle applications.