Quant Researcher - Macro Trend

The Team

AHL Global Macro is the business unit responsible for global macro strategies across all asset classes. The team trade all markets, from liquid to alternative universe, with strategies spanning multiple holding periods.

This role sits within the AHL Global Trend And Volatility sector. This role's research mission is to model the behaviour of global macro assets and identify alpha signals, with a particular focus on understanding and modelling what drives trends in macro assets and the timing of this style.

The Role

You will conduct original alpha research on global macro assets, building and testing predictive signals that inform live trading strategies. You will work across the full research lifecycle — from hypothesis generation and statistical modelling through to implementation and ongoing performance analysis — with direct exposure to live strategy management.

Day-to-day you will:

Research and develop alpha signals across global macro asset classes, with a focus on trend timing and directional strategies

Model the dynamics of macro assets (rates, FX, equities, commodities) to identify exploitable patterns

Design and evaluate predictive signals using rigorous statistical and quantitative methods

Contribute to portfolio construction and risk analysis across the sector's strategies

Monitor live strategy performance and translate observations back into research hypotheses

Collaborate with researchers across AHL Global Macro and contribute to the broader research agenda

Technology and Business Skills:

2+ years of experience researching alpha signals ideally across commodities, FI, or EM

Solid grounding in statistical and mathematical modelling; able to choose the right tool for the right problem

Strong Python skills; comfortable working with large financial datasets

Understanding of portfolio construction and risk analysis

Familiarity with transaction costs and their impact on signal design is a plus

Personal Attributes

Strong academic record with a degree in a quantitative discipline — Mathematics, Statistics, Physics, Computer Science, Engineering or Economics from a leading university; a PhD or Master's is advantageous

Intellectually curious with a genuine interest in financial markets and the macro forces that move them

Hands-on and rigorous: you enjoy following an idea all the way from intuition to tested, implemented signal

Self-organised with the ability to manage multiple research threads in parallel

Clear communicator: able to present quantitative findings concisely and engage constructively with alternative views

Collaborative; comfortable working closely with researchers, technologists and portfolio managers