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2 дня назад

Exchange Fee Data Analyst (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Exchange Fee Data Analyst (Fintech): Analyzing trade data, exchange fees, market data costs, and trading performance with an accent on reconciliation, validation, data modeling, and dashboard development. Focus on identifying complex data and financial issues, translating business requirements into data solutions, and applying advanced analytics to financial data.

Location: On-site in Bala Cynwyd, Pennsylvania, in the Philadelphia area

Company

Susquehanna is a global quantitative trading firm using scientific rigor, machine learning, and advanced quantitative research to develop systematic trading strategies.

What you will do

  • Analyze trade data to identify trends, patterns, and anomalies.
  • Calculate, reconcile, and validate exchange fees and market data costs.
  • Build and maintain reports, dashboards, visualizations, and data models for trading performance and cost analysis.
  • Translate business requirements into data solution designs.
  • Collaborate with technical and non-technical stakeholders to improve data quality and processes.

Requirements

  • At least 5 years of experience in financial services.
  • Strong understanding of trade data, asset classes, trade flows, electronic trading, exchange fee structures, and market data fees.
  • Proficiency in statistical analysis, data cleaning, data modeling, and complex problem-solving.
  • Strong SQL skills and experience with data visualization tools such as Tableau or Power BI.
  • Understanding of investment banking, capital markets, derivatives, and the trade lifecycle.
  • Excellent written and verbal communication and cross-functional collaboration skills.

Nice to have

  • Python or R scripting experience.
  • Degree in finance, economics, data science, or a related field.
  • Knowledge of regulatory requirements and industry standards for trade data and exchange fees.
  • Project management or cross-functional leadership experience.
  • Experience applying machine learning and AI to financial data analysis.

Culture & Benefits

  • Non-hierarchical, collaborative, and intellectually driven work environment.
  • Focus on continuous development and collaboration among researchers, engineers, and traders.
  • Relaxed dress code and fully stocked kitchens.
  • On-site fitness facility, wellness center, and practical services including a mailroom, barber, dry cleaning, and car maintenance.
  • Discounts, social events, and opportunities to participate in community initiatives.

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