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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!
Job Responsibility:
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
Requirements:
Minimum of 5 years of experience within the financial services sector
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
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
Experience working effectively within a team environment and collaborating with various stakeholders across different departments
Nice to have:
Familiarity with scripting languages like Python or R for more complex analysis
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
Proficiency in advanced data analysis tools and techniques, including machine learning and AI applications in financial data analysis
What we offer:
Relaxed dress code (jeans and sneakers are the norm and team jerseys every Friday)
Fully stocked kitchens for breakfast, lunch, snacks, and beverages
A forty thousand square-foot state of the art fitness facility with brand-new equipment, multi-purpose courts, group exercise classes, and locker room spaces
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
On-site services such as a mailroom, barber, dry cleaning, and car maintenance
Opportunities to give back to the community through Susquehanna sponsored events and donation drives