OverviewAre 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 forKey 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
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.
