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.
Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.
The Role: WorldQuant Macro Team is seeking an exceptional individual to work on complex data pipelines, computational infrastructureand quant-related software systems. This role works closely with Macro Portfolio Managers and Researchers, andacross teams within WorldQuant as a hands-on engineer as a part of our business facing technology organization. A successful candidate will possess an in-depth knowledge of data design patterns, software architecture and design principles and how to implement them. They should be familiar with data structure and algorithms, data engineering and stay informed about AI technologies and their potential applications to drive business support and growth
What You’ll Bring:
- Degree in a technical or quantitative discipline from a top tier institution.
- 2+ years of Python experience as a developer.
- Demonstrated ability to program in Python on Linux/Unix platforms; familiarity with scripting languages.
- Experience with effective code version control, as well as Continuous Integration and Deployment.
- Exceptional communication skills in both verbal and written form.
- Excellent problem-solving abilities and judgment with strong attention to detail.
- Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture.
- Motivated by the transformational effects of technology-at-scale.
- Experience with AI technologies, such as LLMs and agentic AI, along with their use cases would be beneficial
- Experience in finance is a plus but not required
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WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.
Top Skills
What We Do
WorldQuant is a global quantitative asset management firm with over $7 billion in assets under management. Founded in 2007 by Igor Tulchinsky with the belief that talent is global, but opportunity is not, WorldQuant has more than 1,000 employees spread among 26 global offices. WorldQuant seeks to get to the future faster, guided by the principle that there are an infinite number of insights to discover. The firm develops and deploys investment strategies across a variety of asset classes in global markets. For more information on WorldQuant’s philosophy and culture, please visit www.worldquant.com.
