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Exchange Fee Data Analyst | Experienced Hire

Susquehanna International Group, LLP

Philadelphia, Pennsylvania • Today

Full-time

Data Engineer | Sports | Experienced Hire

Susquehanna International Group, LLP

Philadelphia, Pennsylvania • Today

Full-time

Data Engineer | Sports | Experienced Hire

Susquehanna International Group

Pennsylvania • 21d ago

Full-time

Quantitative/Data Developer | Fixed Income | Experienced Hire

Susquehanna International Group, LLP

Philadelphia, Pennsylvania • Today

Full-time

Data Quality Lead Analyst

Citi

Wilmington, Delaware • Today

Full-time

USD 140,150.00 - 145,800.00 per year

Quant Developer | Trading Strategies | Experienced Hire

Susquehanna International Group

Pennsylvania • 21d ago

Full-time

Software Engineer | Trader & Quant Education Technology | Experienced Hire

Susquehanna International Group, LLP

Philadelphia, Pennsylvania • Today

Full-time

Quantitative Systematic Trader | Experienced Hire

Susquehanna International Group

Pennsylvania • 21d ago

Full-time

Senior Data Analyst, Data Transfer Agreement, Gap Analysis, Data SQL Skills

AssistRx

Remote or Florida • Today

Full-time

Lead Systems Data Analyst - Alternatives experience (Private Markets/Hedge Funds) - Remote EST

Yoh - A Day & Zimmerman Company

Remote or Boston, Massachusetts • Today

Easy Apply

Full-time

Competitive

Lead Data Analyst

Parachute Health

Remote • Today

Full-time

USD 160,000.00 - 200,000.00 per year

Senior Fraud Data Scientist

Gemini

Remote or New York, New York • Today

Full-time

USD 116,250.00 - 155,000.00 per year

Associate System Administrator - O365,Exchange & SharePoint (Remote - Local to Newport News, VA)

Ferguson Enterprises, LLC

Remote or Newport News, Virginia • Today

Full-time

USD 4,387.02 - 7,681.62 per month

Job Details

Skills

Pivotal
Cost Management
Dashboard
Data Quality
Financial Services
Market Analysis
Reporting
Statistics
Data Cleansing
Modeling
SQL
Data Visualization
Tableau
Microsoft Power BI
Scripting
Python
R
Investment Banking
Capital Market
Derivatives
Problem Solving
Conflict Resolution
Communication
Collaboration
Economics
Data Science
Microsoft Exchange
Project Management
Management
Artificial Intelligence
Finance
Data Analysis
FOCUS
Continuous Integration and Development
Art
Brand
Innovation
Trading
Machine Learning (ML)
Quantitative Research
Microsoft Excel
Recruiting

Pivotal
Cost Management
Dashboard
Data Quality
Financial Services
Market Analysis
Reporting
Statistics
Data Cleansing
Modeling
SQL
Data Visualization
Tableau
Microsoft Power BI
Scripting
Python
R
Investment Banking
Capital Market
Derivatives
Problem Solving
Conflict Resolution
Communication
Collaboration
Economics
Data Science
Microsoft Exchange
Project Management
Management
Artificial Intelligence
Finance
Data Analysis
FOCUS
Continuous Integration and Development
Art
Brand
Innovation
Trading
Machine Learning (ML)
Quantitative Research
Microsoft Excel
Recruiting

Summary

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 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

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

If you're 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: susq
Position Id: 6ca108c157ea71ff13b879634af9ef15
Posted 4 hours ago

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Job Details

Skills

Pivotal
Cost Management
Dashboard
Data Quality
Financial Services
Market Analysis
Reporting
Statistics
Data Cleansing
Modeling
SQL
Data Visualization
Tableau
Microsoft Power BI
Scripting
Python
R
Investment Banking
Capital Market
Derivatives
Problem Solving
Conflict Resolution
Communication
Collaboration
Economics
Data Science
Microsoft Exchange
Project Management
Management
Artificial Intelligence
Finance
Data Analysis
FOCUS
Continuous Integration and Development
Art
Brand
Innovation
Trading
Machine Learning (ML)
Quantitative Research
Microsoft Excel
Recruiting

Pivotal
Cost Management
Dashboard
Data Quality
Financial Services
Market Analysis
Reporting
Statistics
Data Cleansing
Modeling
SQL
Data Visualization
Tableau
Microsoft Power BI
Scripting
Python
R
Investment Banking
Capital Market
Derivatives
Problem Solving
Conflict Resolution
Communication
Collaboration
Economics
Data Science
Microsoft Exchange
Project Management
Management
Artificial Intelligence
Finance
Data Analysis
FOCUS
Continuous Integration and Development
Art
Brand
Innovation
Trading
Machine Learning (ML)
Quantitative Research
Microsoft Excel
Recruiting

Summary

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 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

Dice Id: susq
Position Id: 6ca108c157ea71ff13b879634af9ef15
Posted 4 hours ago

Fitment

Dice Job Match Score™

🧠 Analyzing your skills...

Create job alert

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