Not specified (likely hybrid based on the nature of the role)
7-10 years analytics experience in equities or fixed income
Proficiency in sql, r, python, shiny, dash, quarto
Deep understanding of alpha generation for equities and fixed income
Eastspring Investments is seeking a Senior Manager - Analytics Specialist in Singapore to optimize investment analytics and enhance decision-making processes. The ideal candidate will combine technical expertise with investment knowledge, focusing on quantitative strategies and analytics product management
Job Summary
This role sits at the intersection of fundamental investment approach and quantitative rigour, reporting directly to the Global Chief Investment Officer.
The successful candidate will own the design and deployment of investment analytics platforms while acting as a product owner for these capabilities.
A key responsibility involves leading the test-bedding and integration of agentic workflows to drive scalability across the investment office.
Matching Summary
Match Score: 85
Eastspring Investments is seeking a Senior Manager - Analytics Specialist in Singapore to optimize investment analytics and enhance decision-making processes. The ideal candidate will combine technical expertise with investment knowledge, focusing on quantitative strategies and analytics product management.
Skills & Requirements
Must-have
7-10 years analytics experience in Equities or Fixed Income
Proficiency in SQL, R, Python, Shiny, Dash, Quarto
Deep understanding of alpha generation for Equities and Fixed Income
Engineering practices: version control, CI/CD, unit testing, API integration
Experience with linear and non-linear signal modelling and backtesting
Nice-to-have
Azure ecosystem and Databricks familiarity
Multi-agent systems and orchestration expertise
Agentic workflows implementation for semi-autonomous digital colleagues
Product owner mindset for investment analytics capabilities
Ability to translate analytical output into actionable CIO advice
Key Requirements
7-10 years relevant experience in analytics or technology within investment teams
Proficient in SQL, R, Python, and front-end frameworks like Shiny and Dash
Well-versed in engineering practices including version control and CI/CD