AI-Driven Quant Developer

WorldQuant

Singapore

On-site

SGD 120,000 - 180,000

Full time

13 hours ago
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Job summary

WorldQuant seeks an exceptionally strong software engineer to join our Technology organization. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies.

This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow—from writing and reviewing code to automating toil and building copilots. You will design data pipelines, develop scalable infrastructure, and collaborate with Researchers

Qualifications

  • Degree in a technical or quantitative discipline.
  • 3–8 years of software engineering experience.
  • Proficiency in Python (preferred) or C++ on Linux/Unix; scripting languages helpful.

Responsibilities

  • Design and build data pipelines and the data layer.
  • Develop and maintain the computational frameworks and infrastructure that run quantitative strategies at scale.
  • Implement and enhance quant-related software systems for data, research, portfolio construction, and trading.
  • Work closely with Researchers and Quants as an engineering partner, turning ideas into robust production solutions.
  • Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research and implementation.
  • Build and integrate AI-powered tooling—LLM agents, copilots, and automation—into engineering and research workflows.
  • Use AI coding assistants and agentic tools to ship higher-quality software faster.

Skills

Python
C++
Linux/Unix
CI/CD
Communication skills
Problem solving

Education

Bachelor's or Master's in a technical or quantitative discipline

Tools

Linux/Unix

Job description

WorldQuant seeks an exceptionally strong software engineer to join our Technology organization. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies.

This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow—from writing and reviewing code to automating toil and building copilots. You will design data pipelines, develop scalable infrastructure, and collaborate with Researchers

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