Associate – Strategic Asset Allocator – Public Markets – SWF Full Time

On behalf of a leading Dubai-based sovereign investor, we are seeking an Associate to join its Public Markets team. The team operates as a fund allocator, investing principally through passive and active equity and hedge fund strategies. This is a portfolio oversight and construction role.

What you’ll do

• Support the Head of Public Markets on strategic and tactical asset allocation across global equities, fixed income, commodities and liquid alternatives, combining active and passive strategies
• Build and maintain capital market assumptions, run optimisation, scenario analysis and stress testing, and translate investment beliefs and constraints into portfolio construction rules and policy benchmarks
• Conduct ex-ante and ex-post risk and performance attribution across asset classes, strategies and managers; identify unintended bets and concentration risk; monitor risk budgets
• Assist the Head of Public Market with external fund manager and hedge funds selection and oversight
• Contribute to rebalancing frameworks, derivative overlays and implementation, and track model vs. actual portfolios
• Build and automate analytics infrastructure (risk systems, optimisers, dashboards, data pipelines) and prepare high-quality analytics packs for the Investment Committee and Board

What we’re looking for

• 2–4 years in public market passive investing, investment allocation via selected fund managers and hedge funds, portfolio construction, reporting or monitoring — ideally gained at a renowned asset management firm, SWF, family office or consultancy, so you bring established best practices from day one.
• Strong background in portfolio construction, modelling, analytics, risk management and performance monitoring.
• Deep understanding of SAA/TAA, capital market assumptions, diversification, factor investing, risk budgeting and optimisation for multi-asset portfolios.
• Familiarity with risk/factor and attribution tools (Barra, Axioma, RiskMetrics) and market data platforms (Bloomberg, Datastream).
• Programming and data skills: Python or R, SQL, Excel/VBA.
• Advanced degree and/or CFA (or working towards) in finance, economics or a related field.
• Excellent written and verbal communication; able to translate complex analytics into clear executive insight.