Exchange Fee Data Analyst | Experienced Hire

Susquehanna International Group; Bala Cynwyd (PA); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Relaxed dress code

Fully stocked kitchens

State-of-the-art fitness facility

Social events and company outings

On-site wellness center

Job summary

Susquehanna International Group is looking for an Exchange Fee Data Analyst in Bala Cynwyd, Pennsylvania. The role involves analyzing trade data, calculating and reconciling exchange fees, and building informative dashboards. A strong background in finance and data analysis is required, alongside proficiency in SQL and data visualization tools. The position offers a collaborative environment focused on driving performance in trading and cost management, with various employee benefits promoting well-being and engagement.

Qualifications

• Minimum of 5 years of experience within the financial services sector.
• Proven understanding and experience with trade data.
• Familiarity with exchange fee structures and market data fees.

Responsibilities

• Analyzing trade data to identify trends and patterns.
• Calculating and validating exchange fees.
• Building reports and dashboards related to trading performance.

Skills

Data analysis techniques

Trade data expertise

SQL proficiency

Communication skills

Financial services experience

Education

Degree in Finance, Economics, or Data Science

Tools

Tableau

Power BI

Python

R

Job description

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!

Potential 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.

Key Qualifications and Experience

• 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.

Preferred Qualifications

• 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.

Benefits

• 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.