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9 月間舉行。參賽者將在 WorldQuant BRAIN 的線上模擬回測平台上建構 alphas*，利用市場歷史資料和我們事先定義好的 operators (運算子) 來模擬股票持倉，以此方式累積分數。 *WorldQuant 所定義的 Alphas 是用來試圖預測各種金融資產

【 2024 WorldQuant IQC 全球量化金融研究競賽線上說明會 】 WorldQuant BRAIN 所舉辦的 2024 International Quant Championship 全球量化金融研究錦標賽為世界上最大型的量化金融研究競賽之一，本活動您將更了解此競賽詳情、平台操作細節以及參

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. ABOUT WORLDQUANT BRAIN BRAIN is a group within WorldQuant sim

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 sensibil

The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data