Company Overview:

TradingKey is a one-stop financial markets platform that is dedicated to helping provides investors and traders with the right tools and insights. Our purpose is to make smarter and more informed decisions.

TradingKey provides education, news and analysis to customers and users targeting at the global market. The websites offer comprehensive financial education, real-time market analysis, and simulated trading tools across various markets. It will also provide interactive learning courses to enhance users' trading skills and knowledge.

Our quantitative research team is looking for several professionals to develop quantitative tools and investment strategies for our clients. As a Quantitative Researcher, you will use advanced statistic methods and machine learning algorithms to do factor mining, factor optimization and construct alpha investment strategies. Experienced candidates with more related work experience can be considered as senior role.

Job Responsibilities:

• Develop quantitative stock selection and recommendation tools for individual (U.S. stock) investment clients.
• Collaborate with other researchers to process data, ensuring its authenticity and accuracy.
• Construct quantitative product logic and strategies, design algorithm models, and conduct data backtesting to ensure effectiveness and reliability.
• Utilize machine learning or other methods to generate new factors and continuously optimize them.
• Coordinate with the company's product department to launch quantitative products on the company's website or app for individual investors, and gradually optimize and enrich them to improve the company's online subscription rates.

Required qualifications, capabilities, and skills:

• Educational background in finance or related fields such as science and engineering.
• At least four years of verifiable quantitative work experience, including factor mining and strategy construction.
• Familiarity with the characteristics of individual investors, deep understanding of how to use relevant quantitative tools, fundamental and technical data analysis, and experience in leading or participating in the development, design, and promotion of related products for clients. At least four years of relevant institutional work experience, with preference given to those with experience in well-known domestic investment advisory firms.
• Proficiency in programming languages and tools such as Python, R, C++, or MATLAB, and familiarity with financial databases (e.g., Bloomberg, Reuters).
• Proficiency in statistical analysis, data manipulation libraries (e.g., Pandas, NumPy, scikit-learn, ARIMA), and deep understanding and proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
• Excellent communication skills, fluent in both Chinese and English, and able to collaborate effectively with company analysts, product managers, and backend developers to implement products.

职责描述：

• 为个人（美股）投资客户开发量化选股、荐股等相关产品工具；
• 与其他研究人员一起进行数据处理，保障数据真实和准确性；
• 构建量化产品逻辑和策略，设计算法模型、进行数据回测，以保障有效性和可靠性；
• 运用机器学习或其他方法来产生新的因子，并持续优化；
• 与公司产品部门衔接，完成量化产品在公司网站或APP上线，供个人投资者用户使用，并逐步优化和丰富，使公司获得更好的产品在线订阅量。

所需资格、能力及技能：

• 金融或理工科等相关背景学历；
• 至少四年可验证的量化工作经验，要求做过因子挖掘及构建策略；
• 熟悉个人投资者特点，深入了解如何利用相关量化工具、基本面及技术面等数据分析，主导或参与过为客户打造相关产品的开发设计、推广等实操过程，至少四年相关机构工作经验，有国内知名投资咨询牌照公司从业经验者优先；
• 熟练使用编程语言工具，如Python , R, C++，或者MATLAB，并且熟练使用金融数据库（如彭博、路透等）；
• 熟练运用统计分析、数据操作库（如Pandas、NumPy、scikit-learn、ARIMA）,深入了解熟练运用机器学习框架工作（如TensorFlow、PyTorch、Keras）；
• 具有很好的沟通技能，能够熟练用中英文交流，能和公司相关分析师及产品经理、后台技术开发者通力协作完成产品落地。

What You Can Look Forward To:

• Competitive compensation package.
• Career growth and personal development within a growing global organization.
• A flat organizational structure that values collaboration and transparency.
• Work-life balance and a relaxed yet ambitious environment
• Multi-cultural working environment
• Opportunities for you to upskill yourself continuously
• Medical scheme & dental benefit
• Fitness allowance
• Performance bonus

We are an equal opportunity employer and welcome applications from all qualified candidates. All personal data collected will be treated in strict confidence and be used solely for recruitment purpose.

All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.