About the job
Our client is seeking a highly skilled and detail-oriented Quantitative Data Engineer to support our algorithmic trading strategies through advanced data infrastructure, tooling, and analysis. You will work closely with quantitative researchers, traders, and engineers to design robust data pipelines, optimize real-time and historical data access, and enable scalable analytics for strategy research and production deployment. This role sits at the intersection of data engineering and quantitative analysis, requiring strong programming skills, a deep understanding of market data, and experience with statistical and time-series analysis.
Location: Amsterdam and Tel Aviv
Job Description
- Design, implement, and maintain high-performance data pipelines and infrastructure for ingesting, storing, and accessing large volumes of market data.
- Analyze financial datasets to uncover patterns, anomalies, and actionable insights for strategy development.
- Work with quants and traders to support backtesting and productionization of trading strategies.
- Build dashboards, tools, and monitoring systems to track strategy performance and market behavior.
- Perform data validation, enrichment, and quality checks to ensure integrity and consistency across data sources.
- Contribute to the development of internal machine learning workflows, supporting research and deployment of models in production environments.
The Right Candidate
- BSc/MSc in Computer Science, Engineering, Mathematics, or a related technical field.
- Strong proficiency in C++ (required), with additional experience in Python and/or Java a plus.
- Solid understanding of data structures, algorithms, and systems programming.
- Familiarity with statistical analysis, time-series modeling, and machine learning concepts.
- Prior experience working with financial data or in a trading environment is highly desirable.
- A collaborative team player who can also take ownership and drive projects independently.