Schonfeld · Hong Kong, Hong Kong
Quantitative Researcher
系统化交易团队的机器学习量化研究员。
最近核查時仍有刊登最近確認刊登:2026-11-03 18:33:29.922697+00
招聘狀態可能變動,申請前請查看原始職位。
薪酬未公開
學歷硕士或博士
語言未說明
經驗至少5年alpha研究经验
來源發布日期:2026-02-17T18:24:50-05:00
工作內容
- 从高频数据和另类数据构建预测特征
- 搭建分布式研究流水线
- 设计并原型化 ML alpha
- 协同将信号部署到生产环境
職位要求
- 硕士或博士,量化相关专业
- 至少5年 alpha research 经验
- 熟悉 tree-based models、deep learning、NLP/LLM
- 精通 Python,最好会 C++
查看招聘來源的要求摘錄
原始資料於 2026-11-01 查閱;內容可能已更新,請查看原始職位。
Required Skills & Qualifications 1. MS or PhD in computer science, statistics, mathematics, or a related quantitative discipline from a top-tier university. 2. Minimum 5 years of alpha-research experience at a leading buy-side firm or global bank. 3. Expertise in tree-based models, deep learning, and NLP/LLM with strong understanding of probability and overfitting-control practices. 4. Proficiency in python (and preferably C++ or similar), coupled with experience on distributed/hybrid compute environments. 5. Excellent analytical, verbal, and written communication skills, with a proactive, ownership-driven mindset suited to the fast-paced trading floor. Who We Are Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income. Our Culture At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.
來源:公司官网 · 資料查閱日期 2026-11-01。職位狀態及要求請以原始招聘頁面為準。