Senior Executive / Associate Manager - Quantitative Strategist

Eastspring Investments; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Eastspring Investments in Singapore is seeking a technically rigorous analytics professional to support the Global CIO in driving regional investment excellence across Equities and Fixed Income, with oversight on multi-asset and quantitative strategies.

You will contribute to the design, development and deployment of investment analytics, manage version control and release cycles, and prototype production-grade quantitative approaches to strengthen decision-making across the investment platform.

Qualifications

• 3–5 years of analytics or technology experience supporting equities or fixed income teams.
• Fluency in alpha generation across the investment lifecycle and communicating to senior stakeholders.
• Proficient in SQL, R/Python and front-end frameworks such as Shiny, Dash and 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.

Responsibilities

• Support CIO initiatives and Management Information for better decision-making.
• Contribute to the Performance Labs and scalable investment analytics capability.
• Design, develop and deploy investment analytics, including version control and release cycles.
• Identify and productionise new analytical approaches to complement decision-making.

Skills

SQL

Python

R

Shiny

Dash

Quarto

Tools

Azure

Databricks

CI/CD

Job description

Eastspring is a global asset manager with Asia at its core. We create a culture in which diversity is celebrated and inclusion assured, for our colleagues, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and in exchange, we support our people's career ambitions. We pledge to make Eastspring a place where you can Connect, Grow and Succeed.

Key Accountabilities

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 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.

Responsibilities:

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.

Required Experience / Qualifications

• 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:
• Azure ecosystem, Databricks, Front-end development
• Multi-agent systems and orchestration

Eastspring is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third‑party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.