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 exceptional individuals to join the firm as a Data Scientist. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets.
- Perform analysis and generate models of financial datasets using machine learning techniques
- Verify the integrity of unstructured data and turn data into potentially valuable insights
- Develop and create data that seek to predict the movement of financial market by applying variety of algorithmic techniques
WHAT WE OFFER:
- Competitive compensation
- Join our established mentoring program and receive one-on-one guidance by an accomplished advisor
- Develop a global vision with opportunities to exchange ideas with various teams in WorldQuant global offices.
- Flexibility of self-managed work progress, comfortable working environment, and rich employee activities
WHAT YOU'LL BRING:
- Pursuing a B.S., M.S. or Ph.D. degree from a leading university in related fields (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data)
- Candidates should be graduating in 2024 or 2025
- Demonstrated ability of at least one programming language, e.g. C++, python, etc.; familiar with systems like Linux/Unix
- Research experience in NLP, Deep Learning is a plus
- Able to communicate in English (written and verbal)
Position is based in our Seoul research office. Please send us e-mail to [email protected] for any question.
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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.
Top Skills
What We Do
WorldQuant is a global quantitative asset management firm with over $7 billion in assets under management. Founded in 2007 by Igor Tulchinsky with the belief that talent is global, but opportunity is not, WorldQuant has more than 1,000 employees spread among 26 global offices. WorldQuant seeks to get to the future faster, guided by the principle that there are an infinite number of insights to discover. The firm develops and deploys investment strategies across a variety of asset classes in global markets. For more information on WorldQuant’s philosophy and culture, please visit www.worldquant.com.
