Remote Trading Data Analyst (Markets & Python)

Eqvilentjobs; United States; Remote; USD 65,000 - 90,000; Full time

Benefits offered by this job

Diverse range of tasks

Fast feedback loops

Remote from anywhere in the world

Access to global offices

Flexible schedule

40 paid days off

Job summary

Eqvilentjobs is seeking a data/financial analyst to analyze trading conditions across multiple exchanges and structure exchange mechanisms. You will organize information, collect market statistics, study raw product data, and prepare technical tasks for developers.

The role involves aggregating data from multiple sources with Python, communicating with external counterparties, and collaborating across teams. Fluency in English and strong analytical skills are essential.

Qualifications

• BS or MS in Economics, Finance, CS, or related field.
• Proficiency in Python and MS Office.
• Understanding of exchange operations and trading mechanisms.
• Fluent English with strong written and verbal communication.
• Ability to learn quickly and adapt.
• Strong analytical skills and attention to detail.
• Excellent time management.

Responsibilities

• Analyze trading conditions and rules across multiple exchanges.
• Research and structure diverse exchange mechanisms.
• Organize and maintain gathered information in a structured format.
• Collect and compare market activity statistics across exchanges and asset types.
• Study raw exchange product data.
• Prepare technical tasks for developers.
• Aggregate data from multiple sources using Python.
• Communicate regularly with external counterparties.
• Collaborate with different teams across the company.

Skills

Analytical skills

Time management

Communication skills

Fast learner

English proficiency

Education

BS or MS in Economics/Finance/CS

Tools

Python

MS Office

Job description

Eqvilentjobs is seeking a data/financial analyst to analyze trading conditions across multiple exchanges and structure exchange mechanisms. You will organize information, collect market statistics, study raw product data, and prepare technical tasks for developers.

The role involves aggregating data from multiple sources with Python, communicating with external counterparties, and collaborating across teams. Fluency in English and strong analytical skills are essential.