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.
What You’ll Bring:
- Undergraduate degree in economics, finance, or a business-related discipline from a leading university
- 5+ years of relevant experience working with data providers; exposure to sell-side data is a plus
- Strong knowledge of financial instruments, industry terminology, and the quantitative investment process
- Demonstrated experience negotiating contracts and commercial terms, especially data licensing agreements
- Working knowledge of basic statistics and data science, and familiarity with AI and LLM applications
- Strong written and verbal communication skills, with excellent attention to detail and organizational discipline
- Ability to build effective relationships with senior stakeholders across investment, data engineering, legal, compliance, and related teams
- Maturity, sound judgment, and personal accountability, with a collaborative and team-oriented approach
- Genuine interest in using data to inform strategy and create business value
- Fluency in Japanese and/or Korean is plus, but not required
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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 $125,000 to $175,000 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 level and the qualifications they bring to the role to formulate a competitive total compensation package.
Position based in New York, NY or Old Greenwich, CT or West Palm Beach, FL
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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.