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# Data Operations Analyst - Systematic Trading

- **Company:** Millennium Management LLC
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Data Control, Extract Transform Load (ETL), Python (Programming Language), Ruby, Standard Sql, DataOps, Data Streaming, Data Processing, Data Ingestion, Information Technology
- **Published:** September 14, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2971031428-2

## About the Role

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 RequiredMasters or bachelors in computer science, mathematics, statistics or other field with good coding skills2 + years of financial industry experience preferredProgramming expertise in Python or similar languageExperience working with SQL type databasesStrong problem-solving skillsStrong communication skillsRecruiter:Ruby KazmiHiring Manager:Benedict HutchingsDepartment:Information Technology

## Description

Data Operations Analyst - Systematic TradingWe 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 ResponsibilitiesEfficiently 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


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