Senior Data Analyst at Legend shaping insights for strategic decisions across sports marketing. Collaborating across teams to improve reporting and forecasting capabilities with analytical projects.
About the role
- Quantitative Analyst responsible for data engineering and development of trading algorithms. Streamlining business procedures in a supportive remote-first culture.
Responsibilities
- Responsible for data engineering, architecture, and the development of trading algorithms
- Enjoy streamlining business procedures
Requirements
- Ability to use Python for the above tasks, understanding the basics of software development
- Pandas, NumPy
- Attentiveness, accuracy, perfectionism in the code
Benefits
- Great challenges with fast feedback loops
- A welcoming group of highly qualified international professionals
- Great corporate culture with internal events and surprising commitment to fostering a supportive and empowering environment
- Cutting-edge hardware and technology
- Work remotely from anywhere in the world
- Access any of our global offices anytime
- Flexible schedule
- 40 paid days off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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