Exchange Fee Data Analyst

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 Include:

• 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.

What we’re looking for

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: Finance, Economics, Data Science, or a related field.
• Industry Knowledge: Deep understanding of regulatory requirements and industry standards related to trade data and exchange fees.
• Project Management: 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 is preferred.

What’s In It For You

• Our non-hierarchical culture allows employees of every level to thrive and make impact. We are not your typical trading firm – the environment is casual, collaborative and we focus on continuous development.
• Relaxed dress code (jeans and sneakers are the norm and team jerseys every Friday)
• Fully stocked kitchens for breakfast, lunch, snacks, and beverages
• 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

The annual base pay range for this role is $100,000 - $140,000 + discretionary bonus + benefits. Susquehanna considers factors such as scope and responsibilities of the position, work experience, education/training, key skills, as well as market and organizational considerations when extending an offer.

If you're a recruiting agency and want to partner with us, please reach out to [email protected]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.