Executive / Senior Executive – Quantitative Strategist

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

Job summary

Eastspring Investments seeks an analytics professional to join our team, blending fundamental investment approach with quantitative rigour. You will grow to translate analytic output into actionable advice for the Global CIO and investment heads, covering equities and fixed income and overseeing platform-wide data and tools for better decision-making.

You will help design production-grade analytics, prototype new approaches, and deliver production-ready code with emphasis on reproducibility,

Qualifications

• 2-4 years of analytics or technology experience in supporting equities or fixed income teams.
• Proficient in SQL, R/Python and front-end frameworks such as Shiny, Dash, Quarto.
• Familiar with alpha generation for equities and/or fixed income.
• Knowledge of engineering practices – version control, CI/CD, unit testing, API integration.
• Differentiating skills: Azure ecosystem, Databricks, front-end development.

Responsibilities

• Analytics Platform: design, develop, and deploy investment analytics in a structured dev environment.
• Quantitative Frameworks: prototype and productionise descriptive and predictive analytics for decision-making.
• Investment Discipline: derive insights and engage investment teams to challenge portfolio construction.
• CIO Support: provide on-demand MI support for priority initiatives.

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.

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KEY ACCOUNTABILITIES

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 grow into one expected to translate analytical output into actionable advice for the Global CIO and the various Head of Investments. Asset classes under quantitative research coverage are Equities and Fixed Income, with oversight on Multi-assets and Quantitative Strategies.

This role will be a generalist involved in integrating and evolving our platform-wide data and tools within top-of-the-house forums for better decision-making across the investment business.

1. 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.

2. 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.

3. Investment Discipline:

Draw meaningful insights from the analytics you build, work with senior team-mates to engage investment teams to challenge and improve discretionary portfolio construction thinking. The aggregated top-of-the-house view will also provide critical management intelligence to the CIO for steering the overall investment business.

4. CIO Support and Management Information:

Support senior team-mates for on-demand support to the CIO on priority initiatives contributing to strategic business objectives.

QUALIFICATION AND SKILL REQUIREMENTS

• 2-4 years of relevant experience in an analytics or technology role supporting Equities or Fixed Income investment teams either in an adjacent or embedded team.
• 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.