Fund Data Analyst
Company Description
FundSense is revolutionising asset management processes by delivering advanced solutions for managing operational complexity in the investment industry. Our platform leverages governed, golden-source data and controlled operational architecture to ensure reliable automation. At its core is FundSense iD, an intelligent data foundation governing thousands of structured product data points across the investment lifecycle. We support workflows for product data management, fund reporting, regulatory disclosures, document creation, and more, helping firms operate more resiliently, scale, and work more efficiently in an evolving regulatory landscape.
Role Description
We are seeking a full-time, remote* Fund Data Analyst to join our team. The Fund Data Analyst will analyse and manage structured product data, perform data modelling and analytics, and support the creation of regulatory disclosures and reports. This role involves collaborating closely with cross-functional teams to ensure data accuracy, streamline workflows, and align data processes with industry standards. The ideal candidate will contribute to developing solutions that enhance automation and operational efficiency across the investment lifecycle.
*As we scale, we intend to open a London office later in 2026, when this role could transition to hybrid if preferred by the candidate.
Qualifications
- Strong Analytical Skills and Data Analytics knowledge to interpret complex financial datasets and drive actionable insights
- Minimum two years of relevant experience, ideally with a fund data vendor
- Proficiency in Data Modelling and Statistics for structuring and analysing data
- Excellent Communication skills to liaise with cross-functional teams and present findings clearly
- Experience in financial services or asset management is a plus
- Proficiency with data tools and platforms, such as SQL or advanced Excel, is preferred
- Bachelor's degree in Finance, Data Science, Statistics, or a related field
- Ability to work independently and manage tasks in a remote environment