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:
The Quantitative Execution team is seeking an Execution Researcher to further refine WorldQuant's execution capabilities across a variety of cash and derivative products. You will be a senior individual contributor working on a collaborative team with a remit to:
- Develop methodology to compare broker algo trading performance, providing dynamic and homogeneous flow allocation
- Maintain global broker relationships
- Provide recommendations for improving trading algorithm performance and reducing execution costs globally
- Evaluate new technologies for research and trading environments and ways to work efficiently with massive amounts data
- Formulate and test hypotheses, design tests, and interpret results
- Provide Portfolio Managers with execution consulting services
- Develop and maintain quantitative models and software solutions to measure and/or forecast price impact, intraday alpha, reversion, etc., in order to design an optimal execution schedule
- Develop shared tools and libraries to facilitate both research and live trading
- Automate research and trading processes
What You’ll Bring:
- Minimum 5 years relevant industry experience with expertise in global equity market microstructure, transaction cost analysis (TCA), trading system design
- Superior Python programming skills
- Strong knowledge of statistics and optimization
- Demonstrated ability to work on quantitative research projects both independently and as part of a team
- Attention to detail, critical thinking, and problem solving abilities
- Knowledge of visualization techniques, GUI development is a plus
Our Benefits:
- Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401(k), fully paid parental leave, generous PTO with unlimited sick days
- Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
- Training: learning and development courses, speakers, team-building off-site
- Employee resource groups
WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. The estimated salary range for this position is $150,000 to $200,000 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 compensation organization where you will be eligible for a base salary, discretionary performance 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.