Data Contributor Jobs at Susquehanna International Group with Visa Sponsorship
Susquehanna International Group hires Data Contributors to support its quantitative trading and market data operations, roles that sit at the intersection of finance and data infrastructure. SIG has a consistent track record of sponsoring international talent across multiple visa categories for this function.
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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 recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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 recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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Get Access To All JobsTips for Finding Data Contributor Jobs at Susquehanna International Group Jobs
Align your background with quantitative data roles
SIG's Data Contributor positions support trading strategies and market data pipelines, so emphasize experience with financial data feeds, time-series datasets, or exchange data formats. A resume framed around data quality and precision signals fit for their trading environment.
Target SIG's structured recruiting cycles strategically
SIG recruits heavily through campus pipelines and returns to the same universities each year. If you're transitioning from a degree program, connect with SIG's university recruiting team in the fall semester, well before the H-1B cap registration window opens in March.
Prepare your credentials for specialty occupation documentation
USCIS requires that H-1B petitions for Data Contributors demonstrate a direct link between your degree field and the role. A degree in computer science, statistics, or financial engineering maps more cleanly than a general business degree, which may require additional supporting documentation from your employer.
Use Migrate Mate to track open Data Contributor roles
SIG's active Data Contributor openings and their sponsorship history for this specific function are searchable on Migrate Mate, letting you filter by visa type and apply directly to roles confirmed to accept international candidates rather than guessing at sponsorship willingness.
Clarify LCA prevailing wage tier during offer negotiation
SIG files Labor Condition Applications with the DOL before submitting H-1B petitions. Ask your recruiter which wage level the LCA will be filed at, since Level I filings for experienced data roles can draw USCIS scrutiny. Confirming this early helps avoid petition delays after you've accepted an offer.
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Find Data Contributor at Susquehanna International Group JobsFrequently Asked Questions
Does Susquehanna International Group sponsor H-1B visas for Data Contributors?
Yes, SIG sponsors H-1B visas for Data Contributor roles. Because the H-1B cap applies to most candidates, your petition would need to be selected in the annual USCIS lottery, which opens for registration each March for an October 1 start date. SIG also sponsors H-1B1 visas, which carry a separate, less competitive cap and apply to nationals from Singapore and Chile.
Which visa types are commonly used for Data Contributor roles at Susquehanna International Group?
SIG sponsors a range of visa categories for this function, including H-1B, H-1B1, F-1 OPT and CPT, TN, J-1, and employment-based Green Cards through the EB-2 and EB-3 pathways. F-1 OPT is common for recent graduates entering the role directly from a degree program, while TN is available to Canadian and Mexican nationals working in qualifying occupations.
What qualifications or experience are expected for Data Contributor roles at Susquehanna International Group?
SIG typically looks for candidates with a strong foundation in data engineering, financial data management, or quantitative analysis. Familiarity with market data protocols, database systems, and high-volume data pipelines is valued given the trading context. A degree in computer science, mathematics, statistics, or a related quantitative field is the standard baseline, and prior exposure to financial markets or exchange data is a meaningful differentiator.
How do I apply for Data Contributor jobs at Susquehanna International Group?
You can browse open Data Contributor positions at SIG that are confirmed to include visa sponsorship on Migrate Mate, which filters roles specifically for international candidates. SIG also posts roles directly on its careers page. Applications typically move through a structured process involving technical assessments and multiple interview rounds, so prepare to demonstrate both data skills and familiarity with financial data environments.
How do I understand the timeline from offer to H-1B approval at Susquehanna International Group?
If you receive an offer requiring an H-1B, the earliest a standard-processing petition can take effect is October 1 of the fiscal year following the March lottery. That means an offer in spring or summer may translate to a start date six or more months later. SIG can file with USCIS as early as April 1, and premium processing is available if you need a faster adjudication decision, though it does not move up the October 1 start date for cap-subject cases.
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