Data Operations Analyst for Quant Trading Systems

Millennium Management; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Millennium Management in London is looking for a Data Operations Analyst to join our systematic data platform. The role monitors data flows, maintains data ingestion and ETL pipelines, and collaborates with data scientists, analysts and engineers to ensure data quality and timely availability.

You should have a Masters or Bachelors in CS/Math/Stats, 2+ years in finance, Python and SQL experience, and strong problem-solving and communication skills.

Qualifications

• Masters or bachelors in computer science, mathematics, statistics or other field with good coding skills.
• 2+ years of financial industry experience preferred.
• Programming expertise in Python or similar language.
• Experience working with SQL type databases.
• Strong problem-solving skills.
• Strong communication skills.

Responsibilities

• Efficiently monitor data flows across various systems, ensuring accuracy, completeness, and timeliness.
• Maintain and enhance the functionality and efficiency of our in-house data monitoring systems.
• Recommend and implement improvements to optimize data processing and quality.
• Design, build, and manage efficient and scalable data ingestion and ETL pipelines. Ensure smooth data flow from various sources into our core systems.
• Liaise with stakeholders across the organization to understand their data requirements and support their initiatives.
• Actively engage with data issue in our production operation environment and aim to provide high quality support on solving the issue both internally or with vendors.

Skills

Python

Data analysis

Communication skills

Education

Masters or Bachelors in computer science, mathematics, statistics or other field

Tools

SQL databases

Job description

Millennium Management in London is looking for a Data Operations Analyst to join our systematic data platform. The role monitors data flows, maintains data ingestion and ETL pipelines, and collaborates with data scientists, analysts and engineers to ensure data quality and timely availability.

You should have a Masters or Bachelors in CS/Math/Stats, 2+ years in finance, Python and SQL experience, and strong problem-solving and communication skills.