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 were 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.
Whats 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 forty thousand 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
About Susquehanna
If youre a recruiting agency and want to partner with us please reach out to Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
#LI-Onsite
Required Experience:
Senior IC
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...
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 were 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.
Whats 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 forty thousand 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
About Susquehanna
If youre a recruiting agency and want to partner with us please reach out to Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
#LI-Onsite
Required Experience:
Senior IC
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