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6 дней назад

Quantitative Data Engineer (Fintech)

150 000 - 225 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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
Quantitative Data Engineer (Fintech): Designing and optimizing financial data infrastructure, quantitative models, and data platforms that support equity market investment strategies with an accent on ETL automation, large-scale data processing, and statistical analysis. Focus on building proprietary data repositories, integrating Bloomberg and other institutional data sources, and ensuring production data quality, security, and reliability.

Location: Florham Park, New Jersey, United States

Salary: $150,000–$225,000 annual base salary plus discretionary bonus

Company

Research-focused asset management firm developing proprietary investment systems and data-driven equity market strategies.

What you will do

  • Develop, refine, and maintain quantitative models for equity market strategies and trading algorithms.
  • Design and enhance financial data repositories, data warehouses, and market data platforms.
  • Automate, monitor, and improve ETL workflows using sources such as Bloomberg, Compustat, and CapIQ.
  • Build reporting, analytics dashboards, and performance metrics platforms.
  • Collaborate with quantitative researchers and portfolio managers on data requests and model development.
  • Optimize large-scale data processing and storage while maintaining production data quality, consistency, and security.

Requirements

  • Master’s or PhD in Computer Science, Engineering, Statistics, or a related quantitative field.
  • At least 2 years of professional software development experience with Python, Julia, C++, or C#.
  • Strong SQL, stored procedure, and relational database management skills; Microsoft SQL Server experience is preferred.
  • Understanding of financial equity data and institutional data sources such as Bloomberg, Compustat, and CapIQ.
  • Experience processing large, complex datasets with high performance and reliability.
  • Advanced mathematics, statistical analysis, communication, and cross-functional collaboration skills.

Nice to have

  • Experience with financial data APIs and data integration tools.
  • Knowledge of machine learning techniques and statistical modeling.
  • Familiarity with Azure, AWS, or other cloud data services and frameworks.
  • Exposure to data governance, security protocols, and compliance standards.

Culture & Benefits

  • Collaborative, research-oriented environment with cross-functional teams.
  • Opportunity to influence investment decisions through data and technology.
  • Full benefits package, profit-sharing, 401(k), and paid time off.
  • Discretionary bonus in addition to base salary.

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