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Job Description
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:
WorldQuant is seeking an exceptional individual to join the firm as a Data Sourcing Specialist, with a focus on broker and alternative data. We aim to remain at the forefront of data discovery and utilization, and this person will be key to achieving that goal. The ideal candidate will identify and source new datasets by building and maintaining relationships with sell-side banks and data providers, attending industry events and conferences, and conducting in-depth research across data exchanges, industry publications, and sell-side materials. The successful candidate will partner closely with researchers and portfolio managers to understand their data needs and requirements, and will work cross-functionally with data providers, legal, compliance, data engineering and research management to support the full data lifecycle, including procurement, onboarding, renewals and decommissions. A compelling candidate will also have a strong background in data strategy, including assessing the data landscape, identifying the most attractive opportunities for the firm, and developing both short- and long-term plans to capture them. Finally, this person will also help improve our data operating model by identifying creative ways to apply new data across the firm and by automating data workflows using AI-based approaches.
