About this role
Salary: £69,000 - 109,000 per year
Requirements: Prior experience in the financial investment/advisory industry with knowledge of capital markets and middle-/back-office operations systemsPreferably experience dealing with alternatives (private/draw-down) funds reporting statements and dataDetail-oriented documentation skills with strong follow-throughTrack record of effective problem-solving, self-motivation, and strong teamworkOutstanding communication and interpersonal skills for working with clients, custodial data providers, and internal partnersTechnical skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, SQL, Python (Jupyter Notebook, Pandas, PySpark), Databricks, Bloomberg, PitchBook, or similar financial services systems and applicationsStrong proficiency using SQL and Databricks (PySpark) to navigate complex data architectures, extract custom audits, and validate high-volume datasetsExposure to or strong interest in using AI tools such as Claude Code, GitHub Copilot, or automated API integrations to optimize code and daily data operational workflowsExceptional ability to interpret unstructured private market financial data such as Form D filings, capital account statements, or institutional investment briefs and translate them into clean, structured database taxonomiesMust have and maintain the right to work in the United Kingdom from the first day of employmentVisa sponsorship is not available for this role Responsibilities: Work collaboratively with our UK team to investigate alternative investment attributes during UK working hoursResearch investments on our global database and classify them by asset type, vintage, and strategyOversee and manage operational workflows for alternative data processingDevelop and maintain effective process controls and accurate metrics to ensure quality standardsPartner with the Research team to implement and run data quality validationsOversee the security master and security classification processesIndependently manage and troubleshoot complex end-to-end data ingestion pipelines, resolving technical blockers in partnership with engineering teamsProactively explore and implement AI-assisted developer tools to optimize repetitive workflows, streamline document parsing, and shorten validation cycles Technologies: AIAPIAtlassianClaude CodeCopilotConfluenceDatabricksExcelGitHubSupportJIRAJupyterPythonPySparkSQLSecuritypandasData WarehouseLLM More:
We are Addepar, a global data and AI platform helping investment professionals turn complex financial information into actionable intelligence. Our platform unifies portfolio, market, and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use our platform to manage and advise on nearly $9 trillion in assets, supported by nearly 650 software, data, and consulting partners. We support clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore, and São Paulo. This role sits within our Alts Data Operations team, focused on alternatives investment data, and is dedicated to capturing and updating alternatives data to power new innovations developed using our proprietary research platform in Pune, working UK hours. Our team mission is to inform wealth managers and institutional investors by helping them improve investment performance through better governance, management, operations, and processes. We value ownership, collaboration, client success, innovation, and learning, and we are an equal opportunity employer committed to inclusion and belonging.
last updated 40 week of 2026