The posting
In this role, you will work closely with the trading analyst team, focusing on building research tools, automating workflows, and developing data-driven applications to enhance decision-making and operational efficiency.
Key Responsibilities
- Develop and maintain robust analytical tools and internal applications for the trading analyst team.
- Automate data workflows, research pipelines, and reporting processes.
- Design, test, and deploy Python-based tools to support market data analysis and trade performance evaluation.
- Collaborate with quants, analysts, and developers to integrate data sources and improve internal systems.
- Work within a fast-paced environment supporting production systems and research tools.
Requirements
- Strong programming skills in Python (experience with Pandas, NumPy, or similar libraries).
- Experience with data visualization, automation, or research tool development.
- Solid understanding of Linux, Git, and modern software engineering practices.
- Familiarity with market data, order books, or trading systems preferred.
- Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field.
Nice to Have
- Experience with C++ or Java.
- Background in finance, quantitative research, or data engineering.
- Knowledge of Kubernetes, AWS, or other cloud-based systems.



