Quantitative Developer
WorldQuant5 months ago
Ramat Gan, IsraelMid Level / Senior
Responsibilities
- Design and build data pipelines and the data layer.
- Develop and maintain computational frameworks and infrastructure for quantitative strategies at scale.
- Implement and enhance software systems for data, research, portfolio construction, and trading.
- Partner hands-on with researchers and quants to turn ideas into robust production solutions.
- Support the full systematic and quantitative business lifecycle from data ingestion through research and implementation.
- Build and integrate LLM agents, copilots, and automation into engineering and research workflows.
- Use AI coding assistants and agentic developer tools to improve software delivery quality and speed.
Requirements
- Technical or quantitative degree from a top-tier institution.
- 3–8 years of software engineering experience.
- Programming ability in Python preferred or C++ on Linux/Unix platforms, with familiarity with scripting languages.
- Experience with code version control and continuous integration and deployment.
- Strong verbal and written communication, problem-solving, judgment, and attention to detail.
- Collaborative, mature, thoughtful, and motivated by technology at scale.
- Experience with AI technologies such as LLMs and agentic AI is beneficial.
- Finance experience is a plus but not required.
About WorldQuant
WorldQuant is a privately held quantitative asset management firm founded in 2007 and headquartered in Old Greenwich, Connecticut. It builds proprietary research platforms and trading infrastructure to generate predictive signals and deploy systematic investment strategies across global markets and asset classes for institutional investors. The firm manages over $7 billion in assets under management and operates a network of offices worldwide.