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WorldQuant

Global quantitative asset management via algorithms

Junior Quantitative Developer

Quantitative DevelopmentConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Solid practical experience in Python and/or C++.
  • Good working knowledge of Bash scripting and Linux environments.
  • Familiarity with version control systems such as Git.
  • Strong analytical and logical thinking, with a methodical approach to problems and persistence in resolving them.
  • Meticulousness and a high standard for the quality of one's own work.
  • Ability to take ownership of problems and work independently without constant direction.
  • Comfort leading multiple tasks and making sound decisions in a fast-paced environment.
  • Ability to learn quickly and adapt to new technologies and complex systems.
  • Effective and concise written and verbal communication in English.
  • Good working knowledge of Claude or other large language model ecosystems, including applying them across the development workflow, from problem analysis and debugging to solution design and documentation.
  • Use large language model tools with judgment and critical thinking, applying them to improve quality, speed, and clarity rather than relying on blind code generation.
  • Ability to bring this approach to the broader team and contribute to raising overall productivity.

Responsibilities

  • Contribute to the design, development, and maintenance of systems, interfaces, and tools that support portfolio management workflows.
  • Collaborate with portfolio managers and developers to understand requirements and translate them into practical solutions.
  • Identify, investigate, and resolve issues in existing tools and infrastructure.
  • Monitor and support production systems, respond to incidents, and ensure reliability.
  • Contribute to code reviews, testing, and technical documentation.
  • Continuously improve team productivity by maximizing modern development tools and practices.

About the Company

WorldQuant

Global quantitative asset management via algorithms

WorldQuant is a global quantitative asset management firm that uses data, talent, and predictive algorithms to manage investments for institutional clients. Its approach centers on quantitative research and algorithmic trading, applying mathematical models to identify opportunities and execute trades in financial markets. The company earns management and performance fees based on assets under management and investment returns. What sets WorldQuant apart is its scale and culture: a worldwide footprint with over 1,000 professionals across 27 offices, a strong emphasis on data-driven research and experimentation, and a commitment to equal opportunity where employees at all levels can contribute ideas. The firm’s goal is to deliver reliable, scalable investment performance for pension funds, endowments, sovereign wealth funds, and other institutions by closely linking research, technology, and trading execution to generate client returns.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$148.5M
Headquarters
Greenwich, CT
Founded
2007

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