Quant Data Engineer

Company: A globally recognized firm operating at the forefront of quantitative finance is looking for a Quantitative Data Engineer to enhance its data-driven trading strategies.

This role bridges the gap between data engineering and quantitative research, focusing on building scalable systems and tools that empower research and real-time decision-making.

Key Responsibilities

• Develop and maintain efficient data pipelines and infrastructure to handle large-scale financial data ingestion and retrieval.
• Conduct in-depth analysis of market data to extract insights that inform trading models.
• Partner with researchers and traders to facilitate the testing and deployment of quantitative strategies.
• Create tools, dashboards, and monitoring systems to visualize performance and market trends.
• Implement data quality checks and enrichment processes to ensure consistency and reliability.
• Support the integration of machine learning workflows into research and production environments.

Candidate Profile

• Degree in Computer Science, Engineering, Mathematics, or a related technical field.
• 1+ programming skills in C++ and Python (Java is advantageous).
• Experience with algorithmic trading, data structures, and systems-level programming.
• Self-motivated, collaborative, and capable of managing projects independently.