WorldQuant develops and deploys systematic financial strategies across a variety 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 exploiting market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a sustainable, global trading platform.
WorldQuant’s success 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. Great ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess a mindset of continuous improvement. That’s a key ingredient in remaining a leader in any industry.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an exceptional talent. There is no roadmap to future success, so we need people who can help us create it. Our collective intelligence will drive us there.
The Role: We are seeking an Associate to assist our Quantitative Execution Services and Analytics team with market microstructure analysis, transaction cost analysis (TCA), algorithmic execution strategy design, market impact modelling (pre & post trade) and other projects. This would be a highly visible role within the company with the potential of having a substantial impact in developing new processes and optimizing the efficiency of current ones.
- Collect, visualize and analyze various sources of data, understand business implications of results and suggest improvements
- Develop transaction cost forecasting models incorporating market microstructure data and estimate market impact costs.
- Evaluate the execution quality of completed trades and provide the necessary recommendations for further improvements.
- Monitor market microstructure issues across different geographies and market segments
What You’ll Bring:
- Exceptionally strong quantitative and analytical skills and computer programming skills
- Experience in a statistical programming language (e.g., Python, R, Matlab), as well as a database querying language (e.g., SQL). Experience with KDB/Vertica or other high-performance databases is helpful
- Working knowledge of Linux environment is preferred
- Hold or working toward a Bachelor’s or advanced degree in Mathematics, Statistics, Computer Science or other related field that is highly analytical and/or quantitative
- Strong attention to detail
- Self-driven and organized
- Excellent written and verbal communication skills
- Team Player
- Knowledge of trading/markets is helpful, but not required
