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Associate – Strategic Asset Allocator - Public Markets - SWF

Flynn and Chase
Dubai, UAE
fulltime
Entry
3 days ago
AllocatorAssetAssociateMarketsPublicStrategic
Free

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Overview

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.

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