Data Operations Analyst - Systematic Trading
Millennium Management
Overview
In this role, you will maintain and optimize our systematic data platform that supports portfolio engines. You will ensure accurate, timely data flows and scalable ingestion pipelines, collaborating with data scientists, engineers, and analysts to solve production issues. You’ll improve data quality and efficiency, while liaising with stakeholders to meet data needs. This is a hands-on, technically driven role in a fast-moving quantitative investing environment with a strong impact on model inputs and decision making.
Responsibilities- Monitor data flows across systems for accuracy, completeness, and timeliness
- Maintain and enhance in-house data monitoring systems
- Recommend and implement data quality and processing improvements
- Design, build, and manage scalable data ingestion and ETL pipelines
- Ensure smooth data flow from diverse sources into core systems
- Engage with stakeholders to understand data requirements and support initiatives
- Address data issues in production operations and provide high-quality vendor/internal support
- Masters or bachelors in computer science, mathematics, statistics or a related field with coding skills
- 2+ years of financial industry experience preferred
- Programming in Python or a similar language
- Experience with SQL databases
- Strong problem-solving abilities
- Strong communication skills
- strong communication
- problem-solving
- stakeholder collaboration
- Python
- SQL
- ETL pipelines
Reference: WJ-747_30145747