Job Description
I’m working with an asset manager that is expanding its equity investment team and hiring a Data Analyst to support portfolio managers and research analysts. This role sits at the intersection of data, research, and investment decision-making, offering exposure across fundamental, quantitative, and data-driven equity strategies.
The Role
You’ll work closely with investment professionals to translate complex datasets into insights that directly inform stock selection and portfolio construction. The position combines analytical problem-solving with hands-on data development, ranging from sourcing and cleaning company data to building tools that make insights accessible across the team.
Key Responsibilities
* Supporting portfolio managers and researchers with data-driven analysis for equity investment ideas
* Analysing large-scale alternative, behavioural, and fundamental datasets, including unstructured data
* Designing and maintaining data pipelines, models, and analytics tools
* Building dashboards, visualisations, and internal tools to improve how data is used across the team
* Collaborating with quantitative and technical specialists to enhance workflows and infrastructure
* Communicating insights clearly to both technical and non-technical stakeholders
Requirements
* Strong programming skills in Python (R experience also considered)
* Experience working with large, complex, or unstructured datasets
* Academic background in a quantitative subject (e.g. maths, statistics, computer science)
* Strong interest in public markets and investment decision-making
* Ability to communicate analytical findings clearly and practically
* Comfortable operating in a fast-paced, collaborative environment
To apply, please send your CV to quantresearch@octaviusfinance.com