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AI Summary
The analyst will collect, structure, and reconcile trading data from various exchanges while developing automated workflows to improve finance operations. They will also collaborate with cross-functional teams to identify process inefficiencies and implement structured solutions.
We are looking for an Analyst to join the FP&A Team and support a wide range of activities, including analyzing broker and exchange data, preparing in-depth analytical reports using Python and other tools, and developing and optimizing operational workflows for the Finance Team.
WHAT YOU'LL BE DOING:
- Collect and analyze trading data across various exchanges and asset classes
- Structure, organize, and maintain collected data in a clear and consistent format
- Perform reconciliations of financial trading data
- Aggregate and process data from multiple sources using Python
- Design, develop, and maintain automated workflows and integrations using no-code/low-code platforms (Make, n8n, Workato, or similar) to improve finance operations and reporting
- Identify inefficiencies in existing processes and propose structured solutions to enhance automation and overall performance
- Collaborate with Finance teams and cross-functional stakeholders
WHAT WE LOOK FOR IN YOU:
- BS / MS in Economics, Finance, Computer Science, or a related field
- Proficiency in Python and MS Office
- Solid understanding of exchange operations, trading mechanics, and the global landscape of exchanges and asset classes
- Strong interest in financial markets
- Hands-on experience with workflow automation platforms (Make / Integromat, n8n, Workato, Zapier, or similar) — a strong plus
- Structured and process-driven mindset, with the ability to map, document, and optimize end-to-end finance processes
- Strong analytical thinking and attention to detail
- Effective time management skills, with the ability to handle multiple tasks and meet deadlines
- Proficiency in English
- Strong written and verbal communication skills
- Ability to quickly learn and adapt in a dynamic environment
WHY SHOULD YOU JOIN OUR TEAM?
- Diverse range of tasks
- Great challenge with fast feedback loops
- Remote from anywhere in the world
- Access any of our global offices anytime
- Flexible schedule
- 40 paid days off
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