Analyst (FP&A)

About the role

This role focuses on financial planning and analysis within Eqvilent, specifically handling trading data. The Analyst will be responsible for collecting, structuring, and maintaining trading data from various exchanges and asset classes. A key part of the work involves reconciling financial trading data and processing information from multiple sources, primarily utilizing Python.

The position also emphasizes improving finance operations through automation. The Analyst will design and develop automated workflows and integrations using no-code/low-code platforms to enhance reporting and efficiency. Identifying process inefficiencies and proposing structured solutions are core to this aspect of the role, requiring collaboration with finance teams and other stakeholders.

Success in this position means contributing to more streamlined and accurate financial processes. This involves not only technical data handling and automation but also a proactive approach to identifying areas for improvement. The ideal candidate will integrate technical skills with a deep understanding of financial markets to support the team's analytical and operational needs.

The salary for this position ranges from $63,250 to $109,250 annually.

Skills that matter here

• Python: This role uses Python for aggregating and processing data from multiple sources, and for preparing analytical reports.
• MS Office: Proficiency in MS Office is required for general analytical tasks and report preparation.
• workflow automation platforms: Experience with platforms like Make, n8n, or Workato is a strong plus for developing and maintaining automated finance workflows.
• exchange operations: A solid understanding of how exchanges operate and trading mechanics is necessary for analyzing trading data effectively.
• financial markets: A strong interest in financial markets is expected, as the role involves analyzing trading data across various asset classes.

Who this role suits

• A person with a structured and process-driven mindset, capable of mapping and optimizing end-to-end finance processes.
• Someone with strong analytical thinking and attention to detail, able to handle complex data reconciliations.
• An individual who can manage multiple tasks effectively and meet deadlines in a dynamic work environment.
• A candidate who is a quick learner and adaptable, comfortable with evolving financial technologies and market conditions.

From the employer

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