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WorldQuant
Quantitative Developer (Macro)
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🌎London
1 month ago
👀 41 views
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Job Description

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 is seeking an exceptional individual to work as a Quantitative Developer in its Macro team. This role works closely with Macro Tech, Portfolio Managers and Researchers on complex data pipelines, strategy framework and trading systems. A successful candidate will acquire in-depth domain knowledge of the Quant Macro space with the design / implementation principles on how to build a quant tech infrastructure for Macro trading.

What You’ll Bring:

  • Degree in a technical or quantitative field from a top tier institution.
  • 2+ years of experience as a developer
  • Very good at Data Structure and Algorithms
  • Demonstrated ability to program in Python on Linux/Unix platforms; familiarity with scripting languages.
  • Familiarity with technologies related to data processing such as Pandas, etc.
  • 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 in finance is a plus but not required

 

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