A US-headquartered global multi-manager equity hedge fund is expanding its Asia risk capability and hiring an Investment Risk VP in Hong Kong. The platform runs a low-net, equity-focused model across a group of specialised, autonomous portfolio managers, and this is the seat that sits over that book, holding a clean, consolidated view of risk across the region and feeding into the global function.

This is a data- and analytics-led investment risk role, not day-to-day risk control and not a compliance-style "policeman" seat. The PMs own their own daily risk; your job is to see across all of them, keep the platform's exposures deliberate, and turn what the data is saying into insight that shapes decisions. At the centre of it is factor exposure management.

What you'll do:

1. Decompose and actively manage factor exposures across the PMs' books, isolating and neutralising unintended market and style factors so returns stay driven by genuine idiosyncratic alpha
2. Monitor investment risk limits and work with PMs on hedging and risk budgeting, reallocating risk toward higher-conviction positioning
3. Build and run the analytics and tooling behind the risk view, using Python and SQL rather than relying on off-the-shelf reporting
4. Turn portfolio data and market themes into sharp, decision-useful insight for senior leadership in Asia
5. Partner closely with the portfolio managers and regional management, and engage regularly with the US head office and global function leads
6. Contribute to the assessment of prospective PM hires as the platform grows

What you'll bring:

1. At least 3-5+ years in investment risk or portfolio risk analytics, gained on an equity long/short book at a hedge fund, multi-manager platform, fund-of-funds or family office
2. Hands-on factor exposure management experience
3. Strong quantitative tooling skills, particularly Python and SQL
4. The ability to work shoulder-to-shoulder with PMs in a partnership culture, rather than policing them
5. Excellent communication across regions and levels of seniority

Bonus points for:

1. CFA charterholder
2. Coverage across both Hong Kong and Singapore
3. Experience building or using AI-enabled risk tooling, which the platform leans on heavily

This is a hands-on VP-level seat rather than a head-of-risk role, so it will suit someone still close to the data and the models. Long-only-only and multi-asset or fixed-income-only backgrounds are unlikely to be a fit. Interested, or know someone who'd be right? Get in touch in confidence.