Qube Research & Technologies · Hong Kong, Singapore, Shanghai, Beijing

2027 – Internship or Graduate, Quantitative Research and Trading

面向量化研究与交易的实习/毕业生项目。

最近核查時仍有刊登最近確認刊登:2026-11-03 18:33:28.942673+00

招聘狀態可能變動,申請前請查看原始職位。

薪酬未公開
學歷在读本科/硕士/博士;大三或最后一年优先
語言English · Fluent
經驗未说明

來源發布日期:2026-08-24T06:56:45-04:00

工作內容

  • 参与研究或交易方向的真实课题
  • 挖掘大型数据中的预测信号
  • 监控策略生产表现并提升执行效率
  • 识别并管理潜在风险

職位要求

  • 量化方向在读,数学/统计/工程等背景优先
  • 具备数学、统计和计算分析能力
  • 会Python、C++或C#之一
  • 英语流利
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。

Your present skillset
Academic background – Pursuing an advanced degree in a quantitative field such as Data Science, Statistics, Mathematics, Physics or Engineering.
Quantitative foundations – Strong analytical skills and an interest in using mathematics, statistics and computation to understand complex problems.
Programming – Coding experience in at least one leading programming language, including Python, C++ or C#.
Research interests – Knowledge of statistics, machine learning, NLP or AI techniques is useful but not essential.
Data – Experience exploring large datasets across multiple time horizons is a plus.
Problem solving – Able to work through complex problems rigorously while maintaining strong attention to detail.
Independence and collaboration – Comfortable working autonomously while exchanging ideas and working closely with colleagues from different disciplines and backgrounds.
Communication – Able to explain your reasoning and communicate technical ideas clearly.
Languages – Fluent in English; additional languages are a plus.
Interviewing
Apply Online – Submit your application online. Applications are reviewed on a rolling basis by our Talent Acquisition team. We read applications carefully, so thoughtful answers that explain your interests and motivations are useful.
Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills.
Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your quantitative and technical thinking, how you approach unfamiliar problems and how you work with others.
We also encourage candidates to take part in one of our Data Challenges. These are an opportunity to work on problems relevant to quantitative research and demonstrate your analytical and technical approach. Strong performance may lead to direct follow-up from our team: Challenge data (ens.fr)
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

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。