Exchange Fee Data Analyst

Susquehanna International Group, LLP-posted 3 months ago

Full-time • Mid Level

Bala Cynwyd (Philadelphia Area), PA

1,001-5,000 employees

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

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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! You will be responsible for analyzing trade data to identify trends, patterns, and anomalies, calculating, reconciling, and validating exchange fees and market data costs, and building and maintaining reports and dashboards related to trading performance and costs. Additionally, you will develop and maintain robust data models to support analysis, translate business requirements into data solution designs, support and build visualizations for end-users, and collaborate with other teams to improve data quality and processes.

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.

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.
Familiarity with scripting languages like Python or R for more complex analysis is a plus.
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.

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.

Non-hierarchical culture allowing employees of every level to thrive and make impact.
Casual environment with relaxed dress code (jeans and sneakers are the norm and team jerseys every Friday).
Fully stocked kitchens for breakfast, lunch, snacks, and beverages.
Access to a 40,000 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.

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