Portfolio Data Operations Analyst

The Role

We are currently seeking a Portfolio Data Operations Analyst to join our Portfolio Data Operations team! Part of the broader Addepar Engineering organization, the Portfolio Data Operations team is responsible for ensuring Addepar's clients have timely and high quality data. This will include overseeing the processing of transactions and positions so that it meets client timelines, ensuring data quality through verification checks, and helping clients with their data support questions. The Portfolio Data Operations team sits at the nexus of Addepar's activity and requires daily communications with data providers, clients, and other personnel across the company.

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions.

The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $86,000 - $107,000 (base salary) + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What You’ll Do

• Perform daily internal verification checks to ensure portfolio account data is accurate and available within SLAs.
• Investigate and troubleshoot data pipeline issues and feed processing exceptions, and triaging with Engineering Support when needed.
• Effectively complete and maintain operational workflows and identify and implement opportunities for optimization.
• Collaborate with Client Support, Solution Architects, and other members of Services and Sales to review and resolve client data inquiries and requests.
• Partner with Product and Engineering to design, test, and implement new processes and tooling features that improve data quality as well as increase operational efficiency.
• Participate in broad company initiatives to stand up new product functionality or services.

Who You Are

• 2+ years of work experience in the financial investment/advisory industry with deep knowledge of capital markets, trade processing and lifecycle, and middle/back-office operations systems.
• Strong attention to details and a passion for problem solving.
• Excellent communication and interpersonal skills for interfacing with internal and external stakeholders.
• Proven ability to multitask and prioritize effectively in a fast paced environment.
• Very team-oriented, dedicated and forward thinking.
• Technical skills preferred in any or all of the following: Microsoft Excel, VBA, SQL, Python, Salesforce, Bloomberg, Thomson Reuters, or other common financial services systems and applications.