Junior Quant Researcher - Machine Learning

初级量化研究员-机器学习方向 【技术栈】数理基础（函数代数、统计、概率论等）、数据分析、建模、Python、SQL、机器学习 【工作内容】 我们的量化交易和研究团队通过将量化专长与衍生品和金融市场的深刻理解相结合, 科学地创建交易策略。我们团队正在寻找初级量化研究员，你将直接影响我们的交易决策和创造显著的业绩。在这里, 你将会: - 进行数据分析，设计量化模型描述市场行为 - 设计和实现组合结构优化算法 - 学习和应用数理统计、机器学习等技术制定交易策略 - 探索新的交易策略等研究机会 【公司福利】 1 加入国际化技术团队，学习成长，开拓思维 2 不要求具备金融交易经验或背景，入职后会参加线上线下金融和技术培训 3 富有竞争力的薪资，诱人的福利待遇，系统的学习资源助你成长 4 20天+带薪年假，注重效率和工作-生活平衡的工作方式 5 趣味多多的社交活动，认识很多有趣的人 【期待你】 - 数学、统计学、物理、力学、生物信息、计算机、金融工程等相关专业，本硕博都欢迎，于2022年7月-2024年7月间毕业 - 拥有扎实的数理基础和Python编程功底，SQL可加分 - 机器学习/数据科学相关经验（例如：神经网络、NLP、计算机视觉、语言识别、文本挖掘、推荐系统等项目经验） - 热爱技术，对量化交易行业充满好奇 - 可接受英文面试 About Akuna: Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions and automation. We specialize in providing liquidity as an options market maker – meaning we are committed to providing competitive quotes that we are willing to both buy and sell. To do this successfully we design and implement our own low latency technologies, trading strategies and mathematical models. What you’ll do as a Junior Quantitative Researcher at Akuna: Akuna’s Quantitative Trading and Research team is looking to add Junior Quant Researchers to a team of mathematicians, statisticians and technologists. This team creates trading strategies scientifically by combining its quantitative expertise with sophisticated understanding of derivatives and financial markets. We are looking for talented researchers who can apply and develop machine learning algorithms to contribute to Akuna’s strategy portfolio. In this role you will: - Develop trading strategies using statistical and machine learning algorithms - Design and implement optimization algorithms for portfolio construction - Develop quantitative models describing market behavior - Advance existing initiatives and explore opportunities for new research topics Qualities that make great candidates: - Bachelors, Masters or PhD in a technical field – Statistics, Mathematics, Physics, Computer Science, Engineering, Bioinformatics, Mechanics, Financial Engineering (or a related subject), graduate(d) during Jul 2022 - Jul 2024 - Programming skills: Strong python programming experience; SQL knowledge and experience would be a plus - Machine Learning/Data Science experience: neural networks, natural language processing, computer vision, speech recognition, text mining, recommendation system and/or relevant project experience - Expertise in mathematics and statistics - Experience building mathematical models for complex real-world problems - Financial experience is not a requirement - Willing to prepare and take English technical interviews