本帖最后由 双生花 于 2017-11-10 11:05 编辑
WorldQuant 2018 量化金融校园招聘：全职职位
Quantitative Researcher WorldQuant is a quantitative asset management firm founded in 2007 and currently has over 600 employees working in more than 20 offices in 15 countries. We develop and deploy systematic financial strategies across a variety of asset classes in global markets, utilizing a proprietary research platform and risk management process. Job Responsibilities (include, but not limited to the following): Our research offices in Beijing, Shanghai are seeking mathematics, computer science, physics and engineering majors for quantitative researcher position involving the creation of computer-based models that seek to predict the movements of worldwide financial markets. Candidates need not have prior knowledge of financial markets, but must have a strong interest in learning about stock markets and financial markets. Our highly accomplished senior staff will provide the new hires with mentoring and guidance to help them succeed. Interested candidates are also invited to attend our company presentations:
城市 | 日期 | 时间 | 院校 | 地点 | 北京 | 11月10日 | 19:00-21:00 | 清华大学（本部） | 待定 |
We offer outstanding career opportunities, which include: - Competitive financial rewards, based on performance and position
- Friendly and collegial working environment
- Opportunity for promotion to Vice Presidentof Research or Portfolio Management in 2 to 4 years
- Potential opportunity for business trips and relocation to another WorldQuant office around the globe to exchange ideas with various teams
- Established mentorship system
- Opportunity to learn from investment experts
Job Qualifications: - Ph.D. or M.S. degree from a leading university and B.S. degree from the top university in mainland China, Hong Kong,Taiwan orUS, (or from other leading universities in the world) in a highly analytical field, such as Mathematics, Computer Science, Physics, Electrical Engineering, Financial Engineering or any other related field that is highly analytical and quantitative - Ranked as top 20% in class for bachelor's degree - Have a research scientist mind-set, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc. - Be competent in a programming language (C++ or C) - Possess good English language skills - Have a strong interest in learning about worldwide financial markets - Have a strong work ethic
Position based in one of our research offices: Beijing, Shanghai. Interested and qualified candidates pleasesend your resume in ENGLISH and local language including a transcript of your bachelor’s degree toONE of below email addresses:
量化研究员 WorldQuant是一家成立于2007年的量化资产管理公司，目前有600余名员工在全球15个国家超过20个办公室工作。我们使用专有的研究平台及风险管理流程，开发配置应用于全球市场各类资产类别的系统化金融策略。
工作职责（包括但不限于）： 我们的北京、上海研究办公室正在寻找数学、计算机、物理及工程类专业的毕业生加入我们，成为量化研究员并通过构建电脑模型来预测全球金融市场的波动。申请者无需相关经验，但须对学习股票及金融市场有强烈的兴趣，我们的资深同事将会为新人提供指导并帮助他们取得成功。
我们邀请所有感兴趣的申请者参加我们的宣讲会：
城市 | 日期 | 时间 | 院校 | 地点 | 北京 | 11月10日 | 19:00-21:00 | 清华大学（本部） | 待定 |
我们提供卓越的职业发展机会，包括： - 基于绩效和职位的有竞争力的薪酬
- 友好而充满学术氛围的工作环境
- 有机会在2-4年内被提升为研究或基金管理副总裁
- 有机会出差前往、或调动至其他WorldQuant的全球办公室与不同团队交流
- 成熟的导师制度
- 向投资专家学习的机会
任职资格： - 知名大学硕士或博士毕业，本科就读于中国大陆、香港、台湾、美国（或世界上其他地区）顶尖大学数学、计算机、物理、电子工程、金融工程或其他数量分析类相关专业
- 本科成绩在班级排名前20%
- 具有科学家思维，如：思考深入、有创意、锲而不舍、聪颖、主动积极
- 擅长一种编程语言（C++或C）
- 良好的英语能力
- 对学习世界金融市场具有浓烈的兴趣
- 出色的职业道德
工作地点为我们的研究办公室：北京、上海
感兴趣且合格的申请者请将中英文简历和本科学习成绩单发送到下列邮箱的其中一个：
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. 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.
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发表于 2018-6-21 11:11:00
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