KEY RESPONSIBILITIES
This team sits at the intersection of fundamental investment approach and quantitative rigour and discipline, reporting to the Global Chief Investment Officer. We scale the business by optimizing the various aspects of the investment, risk management, performance analytics and portfolio construction lifecycle alongside best-in-class management information. The aim is to improve business outcomes and scale the business from a top-of-the-house perspective.
We are seeking a technically rigorous, investment-literate analytics professional. This role will support the team lead and the Global CIO in their efforts to drive regional investment excellence and oversight of process discipline. Asset classes covered are Equities and Fixed Income, with oversight on Multi-assets and Quantitative Strategies.
This role will contribute to tools within top-of-the-house forums for better decision-making across the investment business.
- CIO Initiatives and Management Information: Support the Performance Labs - a capability that combines portfolio diagnostics, behavioural development, and scalable technology to continuously strengthen investment decision-making and enable consistent, sustainable growth across the regional investment platform.
- Analytics Platform: Support the design, development, and production deployment of investment analytics, managing version control, release cycles, and iterative improvements in a structured quantitative development environment.
- Quantitative Frameworks: Identify, prototype and productionise new analytical approaches across descriptive and predictive applications to complement decision-making. Develop and maintain production-grade code, with a strong emphasis on code quality, reproducibility, documentation, and maintainability.
RQUIRED QUALIFICATIONS AND SKILLS
- 3-5 years of relevant experience in an analytics or technology role supporting Equities or Fixed Income investment teams either in an adjacent or embedded team.
- Fluency in how alpha is harvested along the investment lifecycle and translating that to senior stakeholders.
- Proficient in SQL, R / Python and front-end frameworks such as Shiny, Dash, Quarto.
- Familiar with how alpha is generated for Equities and/or Fixed Income.
- Familiar with engineering practices - version control, CI/CD, unit testing, API integration.
- Differentiating skills: 1. Azure ecosystem, Databricks, Front-end development and 2. Multi-agent systems and orchestration.
