Data Operations Analyst

Data Operations Analyst 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, C++, Java or C# Programming skills in SQL, PL-SQL or T-SQL Strong problem-solving skills Strong communication skills CLICK THIS LINK TO APPLY AT OUR NEW CAREER SITE Prior applicants - If you have previously applied, your application has been moved to our new career site. Follow the link above. Self-ID – if you are here to complete Self-ID, please login if needed then click ‘candidate home’ button on the top right of this page.