Our client, a highly regarded Investment firm with circa $80Bil of AUM is looking to add and experienced Data professional to their Operations team. The successful candidate be an integral member of this newly established and growing team responsible for all areas of data operations across their alternative fund range. You will play a significant role in the firm’s efforts to enhance their core data function.

Role & Responsibilities

1. Process and reconcile capital calls, distributions, and capital account/valuation statements against fund documents and internal systems.
2. Ingest and validate GP-reported data in Canoe Intelligence
3. Maintain accurate transaction records across ABOR/IBOR platforms.
4. Support month-end/quarter-end valuation close and reporting deadlines.
5. Partner with Research Operations, Client Operations, Portfolio Reporting and IT to resolve data discrepancies.
6. Contribute to workflow automation initiatives — documenting current-state processes, testing new tools, and identifying manual steps for elimination.
7. Maintain SOPs and process documentation for transaction and data workflows.
8. Be responsible for ensuring all information security processes, policies and procedures are adhered to and any issues or concerns are raised with the Cyber Security team.
9. Ensure full compliance with all local data protection regulations and privacy controls, and any related issues are raised via the appropriate channels.

Background & Experience

1. A bachelor’s degree in a relevant field, such as mathematics, statistics, economics or data science, would be an advantage. Strong numerical skills and the ability to work accurately with data are essential.
2. Approximately 1–3 years’ experience in a Data Operations or similar role at an asset manager or fund administrator (strongly preferred).
3. Experience building or using Power BI dashboards for data quality monitoring.
4. Proven problem-solving skills and demonstrating logical thinking patterns.
5. An ability to prioritise daily workload whilst working efficiently and accurately under pressure.
6. Able to multi-task in a fast-paced investment environment.
7. Be an articulate self-starter with strong analytical and organisational skills.
8. Able to communicate effectively with peers and senior members of the wider team.
9. Have a high degree of integrity and professionalism and be a collaborative “team player”.
10. Experience using AI tools to streamline workflows, automate routine tasks and improve operational efficiency.
11. Proficiency using Microsoft Suite.

Please note that due to the high volume of applicants responding to our adverts we are regrettably not able to feedback on all applications; only successful candidates will be contacted.