Data Operations Analyst - Systematic Trading
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (43.0%).
Occupation Type
Data analysts
Occupation Code Skill LevelMedium Skilled
Sponsorship Salary Threshold
£41,700
(£21.38 per hour)
Standard minimum applies
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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
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.
- 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