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, Risk Metrics) 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.