Description:
As a Research Engineer, you will be working closely with researchers and engineers to improve trading decision processes. Enjoy a flexible, hybrid work environment while tackling high-impact projects.
Responsibilities include:
- Partner with Quantitative Research teams to design, develop, and deploy data solutions that enhance trading strategies and decision-making processes.
- Oversee the construction of highly scalable data pipelines across both on-premises and cloud platforms. Ensure data is efficiently ingested, normalized, and prepared for quantitative analysis.
- Develop automation tools and improve end-to-end process visibility, resiliency, and traceability.
- Conduct performance analysis to ensure low-latency data processing and tuning of cloud platforms.
- Maintain CI/CD pipelines and regression test suites for data pipelines.
Requirements:
- 2+ years of commercial high-performance engineering experience within a research team at a trading firm or leading technology company
- Minimum of 2 years in Python and C++17 or newer, demonstrating a strong command of modern C++ practices and standards.
- Strong understanding of data pipeline architecture, cloud computing, and automation tools. Experience with CI/CD practices and performance tuning is highly desirable.
- Computer Science (or similar) degree from a top university (GPA of 3.6 or higher)