Assistant Portfolio Manager at WorldQuant in Singapore, Singapore

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
The Role:
We are seeking an exceptionally talented Assistant Portfolio Manager to join our team. The job responsibilities include, but are not limited to, the following:
Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies
Build and maintain tools and systems used throughout the quantitative research and portfolio management processes
What You’ll Bring:
PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline
Prior experience in quantitative research and/or quantitative development for systematic strategies is an advantage
Strong knowledge of Linear Algebra, Statistics, Machine Learning
Experience building automated research, testing, and validation frameworks leveraging LLM tools to accelerate code generation, strategy analysis, data quality checks, experiment workflows, and production diagnostics
Demonstrated ability to program in Python and/or C++, with a strong background in data structures and algorithms
Working knowledge of Linux
Strong problem-solving abilities and work ethics
Strong moral integrity and work ethics
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