Description

My client is an AI-powered hedge fund company founded in 2016 and headquartered in Korea. They have raised significant funding from a major global technology conglomerate and several large financial institutions, offering AI-driven investment solutions including ETFs, execution technology, investment signals, and robo-advisory systems. With offices in three global hubs, their Hong Kong team is small and they are now expanding their quant trading capabilities locally.

Role Overview

We are seeking aQuantitative Trader with 2-5 years of experience with existing trading strategies. You will focus on mid to low frequency, delta neutral strategies. You MUST have existing strategies and end-to-end research experience including data sourcing. This role reports directly to the CIO with a flat structure. You will be allocated a small AUM to trade to start with. No relocation provided.

Key Responsibilities:

1. Develop and run mid to low frequency, delta neutral strategies across asset classes in traditional finance (no crypto).
2. Own end-to-end research from data sourcing to strategy implementation.
3. Present backtesting results as part of the interview process.

Required Skills & Experience:

1. Experience: 2-5 years as a quantitative trader.
2. Strategy Focus: Mid to low frequency, delta neutral strategies.
3. Existing Strategies: Must have proven, existing strategies ready to deploy.
4. Research Capability: End-to-end research experience including data sourcing.
5. Coding: Python proficiency (coding not the core focus).
6. Markets: Traditional finance.

What the Firm Offers:

1. Base plus discretionary bonus.
2. 20 days annual leave.
3. Flexible WFH policy.

Please send your CV to Sarah Fan at sarah.fan@ashford-benjamin.com, or call +852 2315 9512 for a confidential discussion.