Senior Executive / Associate Manager - Quantitative Strategist

About the team
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.

The role
We are seeking an investment-literate technologist. This role will gradually grow into one that drives the evolution of the analytical harness for the Global CIO and investment insights across asset classes. Asset classes under quantitative research coverage are Equities and Fixed Income, with oversight on Multi-assets and Quantitative Strategies.

Key responsibilities
This role will be a specialist role to drive the evolutionary growth of Eastspring's proprietary investment analytics and decision-support platform.

• Investment Technology
  Tech-stack ownership and management on software, code, cloud platforms that supports the initial pipelines making analytics data ingredients across sources and asset classes available to downstream derived layers. This includes collaborating with enterprise technology for the resourcing of infrastructure and data catalogue/governance.

• Analytics and AI Scaffolding
  Technology fabric that translate data into consumable actions and insights. This is the critical mesh which connects structured and unstructured data, logic, reasoning and investment context. The goal is two-fold - i) maximise access to knowledge and ii) compress time from knowledge to action.

• Quantitative Frameworks
  Support the prototyping and productionising of 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.

Required qualifications and skills

• 2-4years of relevant experience in an analytics or technology role supporting Equities/ Fixed Income / Multi-asset investment teams either in an adjacent or embedded role.
• Proficient in SQL, R / Python and data APIs.
• Experience with software development lifecycle.
• Experience in designing and building multi-agent systems and coding harnesses.
• Investment fluency with how alpha is generated along the lifecycle for Equities / Fixed Income / Multi-asset.