Data Operations Analyst - Systematic Trading

Millennium; Greater London; On-site; GBP 48,000 - 72,000; Full time

Job summary

Millennium is seeking a Data Operations Analyst to join its systematic data group. You will monitor data flows, maintain pipelines, and ensure data quality for alpha sources used by portfolio managers.

The role emphasizes coding in Python, SQL and strong problem-solving and communication skills. Prior finance experience is preferred.

You will collaborate with data scientists, engineers and traders to understand data requirements and support data initiatives across the organization.

Qualifications

• Masters or Bachelor's in CS/Math/Stats with coding skills.
• 2+ years in financial industry preferred.
• Proficient in Python and SQL.

Responsibilities

• Efficiently monitor data flows across systems for accuracy and timeliness.
• Maintain and enhance in-house data monitoring systems.
• Recommend improvements to optimize data processing and quality.
• Design, build and manage scalable data ingestion and ETL pipelines.
• Liaise with stakeholders to understand data requirements and support initiatives.
• Engage with data issues in production and provide high-quality support.

Skills

Python

SQL

Data pipelines

Data quality

Education

Masters or Bachelors in CS/Math/Stats

Job description

We are building a world class systematic data platform which will power the next generation of our systematic portfolio engines.

The systematic data group is looking for Data Operations Analyst to join our growing team. The team consists of content specialists, data scientists, analysts and engineers who are responsible for discovering, maintaining and analyzing sources of alpha for our portfolio managers.

This is an opportunity for individuals who are passionate about quantitative investing. The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology and financial markets.

Principal 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.

Qualifications/Skills Required

• 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