Research Data Analyst – Quantitative Investing

asset-management, it, Data & BI

Perm

Hybrid

This role sits within a quantitative research environment where high-quality data is foundational to every investment decision.

You’ll be responsible for the reliability, transparency, and usability of research data across multiple asset classes. The work is hands-on and detail-driven, but also highly visible — your output directly impacts how researchers and portfolio teams build and test investment ideas.

This is a strong fit for someone who enjoys owning data quality end to end and wants to sit close to the investment process rather than in a pure support function.

• Monitoring research data feeds and identifying anomalies or breaks
• Investigating and resolving data quality issues at the source
• Building and maintaining data quality controls and validation checks
• Onboarding new datasets and integrating them into existing pipelines
• Developing deep expertise across market, reference, fundamental, and macro data
• Partnering with research and investment teams to support data needs
• Working with data engineers to improve pipelines and monitoring
• Documenting datasets, processes, and usage for wider transparency
• Participating in an on-call rotation to support critical data processing

• Experience working with financial or market data in an investment or data-driven environment
• Strong Python and SQL skills for data analysis and automation
• Hands-on experience with data pipelines and workflow orchestration
• Strong understanding of data quality, validation, and governance concepts
• Comfortable working across multiple asset classes and datasets
• High attention to detail with the ability to communicate clearly

• Bachelor’s degree in a quantitative or technical discipline
• Several years of relevant experience in data, analytics, or research support roles
• Demonstrated interest in building a long-term, data-focused career

Experience with cloud-based data platforms, large-scale processing, or anomaly detection techniques is a plus.

• Data quality is taken seriously and treated as a core investment input
• Direct interaction with researchers and portfolio teams
• Ownership over datasets used in live research and strategies
• Hybrid working with a focused, collaborative culture

Full Name

Email

Phone

Linkedin

Upload CV/Resume

Maximum allowed file size is 8 MB. Allowed Type(s): .pdf, .doc, .docx

By using this form you agree with the storage and handling of your data by this website.