Kerja Sepenuh Masa, Quantitative Strategist di Ambition - Maukerja

Our client is a leading Asian asset manager with investments spanning Equities, Fixed Income, Multi-Asset, and Quantitative Strategies.

The team sits at the intersection of a fundamental investment approach and quantitative rigour and discipline, reporting to the Global Chief Investment Officer. It scales the business by optimising the investment, risk management, performance analytics and portfolio construction lifecycle, alongside best-in-class management information. This role supports the team lead and the Global CIO in driving regional investment excellence and oversight of process discipline, contributing to the tools used in top-of-the-house forums for better decision-making across the investment business. Asset classes covered are Equities and Fixed Income, with oversight on Multi-Asset and Quantitative Strategies.

• CIO initiatives and management information — support a portfolio diagnostics capability that combines behavioural development and scalable technology to continuously strengthen investment decision-making 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; develop and maintain production-grade code with a strong emphasis on code quality, reproducibility, documentation and maintainability

What fits:

• 3–5 years of relevant experience in an analytics or technology role supporting Equities or Fixed Income investment teams, either embedded or in an adjacent team
• Fluency in how alpha is harvested along the investment lifecycle, and the ability to translate that to senior stakeholders
• Proficient in SQL, R / Python, and front-end frameworks such as Shiny, Dash or 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

If you believe you fit the requirements for the role, please click "Apply" or send your updated resume to *************

Short listed candidates will be notified

Data provided is for recruitment purposes only

Business Registration Number: 200611680D. License Number: 10C5117 EA Registration Number: R1875960