CTC is looking to build and maintain core data assets that power their Sigma and Dash Dashboards, which are crucial for data-driven decision-making across all desks at the firm. The goal is to ensure timely feedback for traders and support essential metrics used by them.
Requirements
- Proficiency in constructing and managing data-processing pipelines.
- Strong proficiency in SQL and object-oriented languages like Python.
- Hands-on experience with ETL tools (e.g. PySpark) and large-scale, complex data transformations.
- Experience with lightweight UI or dashboarding frameworks like Dash is a plus.
Responsibilities
- Be responsible for the quality, reliability, and overall health of our data pipelines.
- Work closely with Data Scientists, Traders and Quantitative Researchers (QTs) to understand their needs, and how they use our final data products.
- Detect source data quality issues that lead to incorrect downstream metrics, and partner with data owners to develop tools to proactively surface and resolve these issues.
- Assist colleagues in transitioning data pipelines and analytics tools to enterprise-wide standards, and improve the process for future adoptions.
- Collaborate with the broader data organization to improve our overall platform offering and functionality.
- Map business workflows to ETL jobs to help own the end-to-end data pipelines.
- Own and continuously improve the Metrics UI and related dashboards.
Other
- Strong interpersonal skills with the ability to work in a team environment
- Most teams at CTC, with the exception of Trading, follow a hybrid workplace model, subject to change based on business need.
