Alternatives Data Operations Analyst

Addepar

City of Edinburgh

On-site

GBP 45,000 - 75,000

Full time

14 days+
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Job summary

Addepar is seeking an Alternatives Data Operations Analyst to work UK hours from our Edinburgh office, focusing on capturing and validating private funds and non-public investments data. You will oversee data quality, security master and workflows, delivering timely insights for research projects on investment decision-making.

You will collaborate with the UK team and researchers, apply SQL & Databricks to audit large datasets, and explore AI-assisted tooling to streamline data validation and

Qualifications

  • Experience in financial investment/advisory industry with knowledge of capital markets and back-office systems.
  • Hands-on SQL and data warehouse experience for auditing large datasets.
  • Familiarity with AI developer tools to optimize workflows and code.

Responsibilities

  • Collaborate with the UK team to investigate Alternative Investment attributes during UK hours.
  • Research investments in Addepar’s global database and classify per asset type, vintage, and strategy.
  • Oversee and manage operational workflows for alternative data processing.
  • Develop and maintain process controls and metrics to ensure data quality.
  • Partner with Research to implement and run data quality validations.
  • Oversee security master and security classification processes.
  • Own and optimise data pipelines, troubleshooting end-to-end ingestion issues with engineering teams.
  • Explore and implement AI-assisted tooling to shorten validation cycles.

Skills

Analytical thinking
Problem solving
Team collaboration
Attention to detail

Tools

SQL
Databricks
PySpark
Python
Excel
Jira
Confluence
Bloomberg
Pitchbook

Job description

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar 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 Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo.

The Role

Alts Data Operations is an Addepar team that focuses on Alternatives Investment Data. The team collects and validates information on private funds, private companies and other non-public investments. This data is used for our research projects on investment decision-making and deliver new research products on topics related to investing (e.g., briefs, working papers, journal articles, models). The R&I mission is to inform wealth managers and institutional investors on new ways to improve their investment performance, by helping them augment their governance, management, operations, and processes. The goal is to apply Addepar’s proprietary and private data (both quantitative and qualitative) to bring new and powerful insights to the world of investors.

We are currently seeking an Alternatives Data Operations Analyst to work UK hours, joining our growing presence in Pune. This role will be dedicated to capturing and updating Alternatives data to power new innovations developed using a proprietary research platform. The platform aggregates over $9 Trillion in assets into an analytical data store that can be analyzed for new insights by researchers at Addepar and other prominent research institutions (e.g. London School of Economics, Dept. of Finance). This role is responsible for ensuring the platform has timely and high-quality data available. This will include oversight of the alternatives security master, data quality validations management, and workflow oversight.
Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.

What You’ll Do
  • Work collaboratively with our UK team investigating Alternative Investment attributes during the UK working hours
  • Research investments on Addepar’s global database and classify per asset type, vintage, and strategy.
  • Oversee and manage operational workflows for Alternative data processing
  • Develop and maintain effective process controls and accurate metrics to ensure quality standards
  • Partner with members of the Research team to implement and run data quality validations
  • Oversee the security master and security classification processes
  • Own and Optimise Data Pipelines: Independently manage and troubleshoot complex end-to-end data ingestion pipelines, resolving technical blockers (e.g., networking, querying, or database errors) in partnership with engineering teams.
  • Integrate AI & Developer Tooling: Proactively explore and implement AI-assisted developer tools (such as Claude Code or custom LLM prompts) to optimise repetitive workflows, streamline document parsing, and shorten validation cycles.
Who You Are
  • Prior experience of financial investment/advisory industry with knowledge of capital markets, middle/back-office operations systems, and preferably with experience dealing with Alternatives (Private/Draw-down) Funds reporting statements and data.
  • Detailed in documenting and exhibits good follow-through techniques
  • Track record of effective problem-solving abilities, self-motivation to take on responsibility, and a strong team-player mentality
  • Outstanding communication and interpersonal skills for working with clients, custodial data providers, as well as internal working partners
  • Technical skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, SQL, Python (Jupyter Notebook, Pandas, PySpark, etc.), Databricks, Bloomberg, Pitchbook, or other common financial services systems and applications
  • Hands-on SQL & Data Warehouse Experience: Strong proficiency using SQL and Databricks (PySpark) to navigate complex data architectures, extract custom audits, and validate high-volume datasets.
  • Familiarity with Modern AI Developer Tools: Exposure to or a strong interest in using AI tools (e.g., Claude Code, GitHub Copilot, or automated API integrations) to optimize code and speed up daily data operational workflows.
  • Alternative Asset Document Literacy: Exceptional 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 taxonomies.

Our Values

  • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
  • Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
  • Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
  • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
  • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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