The company is looking to analyze trade data to identify trends, patterns, and anomalies, and to calculate, reconcile, and validate exchange fees and market data costs to improve trading performance and cost management.
Requirements
- Proven understanding and experience with trade data, including various asset classes, trade flows, and the data supporting electronic trading.
- Familiarity with exchange fee structures, market data fees, and the complexities of fee calculations and reporting for trade data usage.
- Proficiency in data analysis techniques, including statistical analysis, data cleaning, and modeling.
- Strong SQL skills for querying and data retrieval.
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
- Familiarity with scripting languages like Python or R for more complex analysis is a plus.
- Proficiency in advanced data analysis tools and techniques, including machine learning and AI applications in financial data analysis is preferred.
Responsibilities
- Analyzing trade data to identify trends, patterns, and anomalies.
- Calculating, reconciling, and validating exchange fees and market data costs.
- Building and maintaining reports and dashboards related to trading performance and costs.
- Developing and maintaining robust data models to support analysis.
- Translating business requirements into data solution designs.
- Supporting and building visualizations for end-users.
- Collaborating with other teams to improve data quality and processes.
Other
- Minimum of 5 years of experience within the financial services sector.
- Understanding of financial concepts, including investment banking, capital markets, derivatives, and the trade lifecycle.
- Ability to identify and resolve complex data and financial issues.
- Excellent written and verbal communication skills, with the ability to effectively communicate findings and insights to both technical and non-technical audiences.
- Experience working effectively within a team environment and collaborating with various stakeholders across different departments.
