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.

The Role:

We are seeking an exceptionally talented Assistant Portfolio Manager to join our team. The job responsibilities include, but are not limited to, the following:

Research

• Executesearch for Meta Research under Portfolio Manager's direction
• Test modules provided by Portfolio Manager

Strategy Maintenance

• Maintain Production and Incubator Strategies by ensuring smooth daily production, fixing any errors, bugs, etc.
• Perform upgrades for strategies under Portfolio Manager's direction
• Execute rebalances for Portfolio Manager's trading units

Increasing Automation

• Assist with consolidating python portfolio management library and integrating it with wqbooklib and GraphBuilder/simdesigner
• Automate back-testing for strategy allocation algorithms and automate strategy-level allocation and rebalancing

What You'll Bring:

• A technical degree from a top tier institution
• Strong Math or Computer Science background
• Good knowledge of Optimization and Machine Learning
• Experienced Programmer in Python and C++
• Experienced Quant Researcher (Alphas/Metas)
• Ability to precisely communicate complex principles and goals
• Excellent problem-solving abilities and judgement with strong attention to detail
• Ability to work independently and thrive in a team-oriented environment