Analyst (FP&A)

🔒 Confidential Employer
Posted 7 May 2026
LOCATION
Remote
TYPE
Full-time
LEVEL
Associate
CATEGORY
Finance & Accounting
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python MS Office Workflow automation (Make, n8n, Workato) Trading data analysis Financial reconciliation Analytical thinking Process optimization Communication

FULL DESCRIPTION

Analyst (FP&A)

[Employer hidden — sign up to reveal] is hiring an Analyst for the FP&A Team. This is a remote role.

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 You Should 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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