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.
Location: Old Greenwich, CT or New York, NY
The Role: We are seeking an intern to assist our Quantitative Execution Services team with transaction cost analysis (TCA), algorithmic execution strategy design, market impact modelling (pre & post trade) and other projects. This would be a highly visible role with in the business with the potential of having direct impact on the PNL of the company. Candidate will need to possess excellent problem solving, analytical abilities, and have strong attention to detail.
- 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:
- Especially 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 a plus.
- Degree(s) in mathematics, statistics, or computer science or related field.
- Working knowledge of Linux environment is preferred
- Strong attention to detail.
- Self-driven and organized
- Excellent written and verbal communication skills
- Great Teammate
- Knowledge of trading/markets is helpful, but not required.
The estimated hourly rate for this position is $75 to $85 which is specific to New York and may change in the future. When finalizing an offer we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
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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.