Data Analyst

(Execution, Trading, Exchange, Financial Services, Python, Pandas)

• Offering Remote working

An excellent role has arisen for a Data Analyst to join a well-established exchange based in London, City. Ideally, we seek candidates who have experience using Python (Pandas). My client's culture is one of trust, openness, and excellence. They work in a collaborative style and take collective responsibility for successes and failures.

My Client's Values

• High personal integrity
• Innovative thinking
• Efficient and reliable performance
• Spark

The successful candidate will join a supportive team, where they aim to recruit the best people from all walks of life and diverse business backgrounds. If these sentiments align with your thinking, then this role/company could be the ideal place for you to develop your career.

Benefits

• 25 days annual leave - not including bank holidays
• Private medical insurance
• Flexible working hours
• Company pension
• Group Policies Life Assurance, Income Protection and Critical Illness
• Discretionary bonus
• Share Incentive Plan

Job Overview

• Build systems to transform raw data into actionable insights for both my client and trading members.
• Understand complex member trading patterns and contribute to building robust frameworks.
• Increase our internal understanding of both our own market as well as the whole European landscape.
• Provide data to management to help strategic decision making.

Responsibilities and Duties

• Use data insights and statistical reporting to contribute to promoting my client's USPs.
• Simulating changes in member trading behaviours to identify potential optimisations.
• Ensure daily operational efficiency within the team by identifying areas for automation, especially in existing processes.
• Creatively visualizing data sets to enable sales to easily read and understand large data sets.
• Interacting with team members to gauge what requirements they would want daily.

Desired Experience

• Degree level of education, with a mathematical element to it.
• At least 1 year of experience in the field or of a similar role.
• Advanced level of Python, with knowledge of Pandas.
• Advanced level of Excel, with knowledge of VBAs.
• Effective communicator.

Skills

• Demonstrable working knowledge of financial markets, electronic trading, equity market structure.
• Experience in data visualization tools (Tableau or other similar data visualization tools).
• Innovative problem solver with the ability to quickly identify and understand issues.
• Must possess strong communication, writing, analytical, quantitative, and research skills.