Senior Exchange Fees Data Analyst

Susquehanna International Group, LLP; Bala Cynwyd (PA); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Wellness Center

On-site services (mailroom, barber, on

Fully stocked kitchens

On-site fitness facility

Job summary

Susquehanna International Group, LLP seeks an Exchange Fee Data Analyst to analyze trade data, calculate exchange fees, and build reports on trading performance and cost management. You will develop data models and translate business requirements into data solutions.

Collaborate across teams, validate data quality, and create visualizations for end users using SQL and BI tools in a fast-paced quantitative trading environment.

Qualifications

• Minimum 5 years of experience in the financial services sector.
• Proven understanding of trade data, asset classes, and trade flows.
• Familiarity with exchange fee structures, market data fees, and reporting for trade data usage.
• Proficiency in data analysis techniques including cleaning and modeling.

Responsibilities

• Analyze trade data to identify trends, patterns and anomalies.
• Calculate, reconcile and validate exchange fees and market data costs.
• Build and maintain reports and dashboards for trading performance and costs.
• Develop and maintain robust data models to support analysis.
• Translate business requirements into data solution designs.
• Support and build visualizations for end-users.
• Collaborate with teams to improve data quality and processes.

Skills

SQL

Data analysis

Financial services knowledge

Trade data understanding

Communication

Collaboration

Problem solving

Education

Finance, Economics, Data Science degree

Tools

Tableau

Power BI

Python

R

Job description

Susquehanna International Group, LLP seeks an Exchange Fee Data Analyst to analyze trade data, calculate exchange fees, and build reports on trading performance and cost management. You will develop data models and translate business requirements into data solutions.

Collaborate across teams, validate data quality, and create visualizations for end users using SQL and BI tools in a fast-paced quantitative trading environment.