Exchange Fee Data Analyst | Experienced

Overview

Are you passionate about financial services and data analysis? Join our dynamic team as an Exchange Fee Data Analyst and play a pivotal role in shaping the future of trading performance and cost management!

• 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.

• Financial Services
  
  Experience:
  
  Minimum of 5 years of experience within the financial services sector.
• Trade Data Expertise:
  Proven understanding and experience with trade data, including various asset classes, trade flows, and the data supporting electronic trading.
• Exchange Fees Knowledge:
  Familiarity with exchange fee structures, market data fees, and the complexities of fee calculations and reporting for trade data usage.
• Data Analysis
  
  Skills:
  
  Proficiency in data analysis techniques, including statistical analysis, data cleaning, and modeling.
• Technical Proficiency:
  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.
• Financial Acumen:
  Understanding of financial concepts, including investment banking, capital markets, derivatives, and the trade lifecycle.
• Problem‑Solving Abilities:
  Ability to identify and resolve complex data and financial issues.
• Communication
  
  Skills:
  
  Excellent written and verbal communication skills, with the ability to effectively communicate findings and insights to both technical and non-technical audiences.
• Collaboration and Proactivity:
  Experience working effectively within a team environment and collaborating with various stakeholders across different departments.

• Degree in Finance, Economics, Data Science, or a related field.
• Deep understanding of regulatory requirements and industry standards related to trade data and exchange fees.
• Experience in managing projects and leading cross‑functional teams.
• Advanced Technical
  
  Skills:
  
  Proficiency in advanced data analysis tools and techniques, including machine learning and AI applications in financial data analysis.

• Non-hierarchical culture that allows employees at every level to thrive and make impact.
• Relaxed dress code.
• Fully stocked kitchens for breakfast, lunch, snacks, and beverages.
• A state‑of‑the‑art fitness facility with equipment, courts, exercise classes, and locker rooms.
• Discounts for dining, entertainment, shopping, travel, and attractions.
• Social events such as a poker tournament, holiday party, company outings, and more.
• On‑site wellness center and services including a mailroom, barber, dry cleaning, and car maintenance.
• Opportunities to give back to the community through company‑sponsored events and donation drives.