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.

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.

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.

The Role: We are seeking an exceptionally talented Assistant Portfolio Manager tojoin our Quant Macro (Commodities) portfolio management team.

Job Responsibilities (include, but are not limited to the following)

• Understand, improve, and maintain the portfolio construction process under the supervision of a portfolio manager
• Work on macro ideas to translate fundamental datasets into tradable signals by portfolio managers
• Develop research agenda aimed at the application of systematic signals that seek to predict the future price movement of financial instruments (i.e. Alphas)
• Evaluate new data sources and statistical techniques for predictive power
• Create project plans to achieve complex research initiatives
• Create tools for sharing with PM group 
• Responsible for research work (Combos, trade module, private meta, alphas strategies and etc)

What You’ll Bring:

• Competent in a programming language (Python and Unix)
• A technical degree from a top tier institution
• Ability to precisely communicate complex principles and goals
• Firm grasp of statistical modeling principles (e.g. linear regression, machine learning, hypothesis testing)
• Excellent problem solving abilities and judgement with strong attention to detail
• Able to work independently and thrive in a team oriented environment