职位描述
欢迎加入Akunacademy 2024暑期实习培养项目
每年夏季Akuna在上海办公室提供线下实习项目，同学们不仅能够接触到real projects，收获培训和反馈，还会参与到一系列趣味多多的社交活动来享受工作之余的时光、亲身感受工作氛围，并拓展职场人脉。
<实习内容>
Akuna的量化交易和研究团队期待有你加入到我们上海办公室由数学、统计学和技术等背景组成的团队中。我们团队通过将数理专长与对衍生品和金融市场的复杂理解相结合, 科学地创建交易策略。
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
<技术栈>
数理基础（函数代数、统计、概率论等）、数据分析、建模、Python、机器学习*
<实习福利>
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，入职后会参加金融和技术培训，系统的学习资源助你成长
3 丰厚的实习薪资，不加班，注重效率和工作-生活平衡的工作方式
4 趣味多多的团队活动，认识很多有趣的人
5 提供转正录用机会
<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2024年9月-2025年7月间毕业
- 拥有扎实的数理基础和Python编程功底
- 热爱技术，对量化交易行业充满好奇
- 可接受英文面试
- 实习时间为2024年暑假，10周，一周5天（周一至周五）
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 Quantitative Research Intern at Akuna:
Akuna’s Quantitative Trading and Research team is looking to add Quantitative Research Interns to a team of mathematicians, statisticians and technologists for our 10 week internship Akunacademy in our Shanghai office. 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:
- Pursuing a Bachelor’s, Masters or PhD in Statistics, Mathematics, Physics, Computer Science, Engineering, Bioinformatics, Mechanics, Financial Engineering (or a related subject), graduate during Sep 2024 - Jul 2025
- Expertise in statistics and machine learning
- Experience building mathematical models for complex real-world problems
- Intermediate programming skills in Python (C++ is a plus)
- Financial experience is not a requirement
- Willing to prepare and take English technical interviews