The Role

Alts Data Operations is a newly launched 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 join our growing presence in Edinburgh. 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 $7 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). The 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 Will Do

• 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 

Who You Are

• Prior experience in the financial industry, securities modeling, post-trade processing or trade-surveillance systems. Knowledge of alternatives is a big plus. 
• 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.