6 дней назад
Quantitative Data Engineer (Fintech)
150 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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