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Addepar

Cloud-based wealth management data platform

Data Projects Analyst

Data EngineeringConfirmed live in the last 24 hours
Full-timePolandPLN140k - PLN168k

About the Job

Requirements

  • Prior work experience in the financial investment, advisory, or technology industry, with a strong understanding of capital markets and portfolio accounting.
  • Proven ability to multitask and prioritize effectively in a fast-paced environment, and experience leading cross-functional projects.
  • Ability to work flexible hours.
  • Technical skills are preferred in one or more of the following: Microsoft Excel, Google Suite, Atlassian Jira or Confluence, SQL, Salesforce, Python (Jupyter Notebook, Pandas, Requests, etc.), Bloomberg, Thomson Reuters, or other common financial services systems and applications.

Responsibilities

  • Manage and complete data conversion projects of varying complexity from third-party systems and files sourced from custodial data partners.
  • Partner with members of Sales and Services organizations to align on project cost estimates and deliverables and ensure positive client outcomes.
  • Develop new or improve existing Python scripts and Jupyter notebooks to interact with APIs.
  • Collaborate with Product and Engineering to identify and implement process improvements and tooling enhancements that increase operational efficiency.
  • Maintain team resources and procedural documentation, and ensure metrics are accurately recorded for internal analytics.

Desired Qualifications

  • Technical skills in one or more of the following: Microsoft Excel, Google Suite, Atlassian Jira or Confluence, SQL, Salesforce, Python (Jupyter Notebook, Pandas, Requests, etc.), Bloomberg, Thomson Reuters, or other common financial services systems and applications.

About the Company

Addepar

Cloud-based wealth management data platform

Addepar offers a cloud-based wealth management platform that consolidates data for data aggregation, analytics, and reporting. It ingests data from custodians, fund administrators, and broker-dealers to present a single, real-time view with tools for performance, risk, scenario modeling, and automated billing, plus a broad API and hundreds of integrations. It specializes in complex, multi-asset and illiquid portfolios (like private equity and real estate) for high-net-worth clients, with pricing based on assets under management. Its goal is to deliver transparent, data-driven insights and an integrated, scalable system that streamlines portfolio oversight and operations for wealth managers.

Company size
1,001-5,000
Company stage
Series G
Total funding
$872.8M
Headquarters
New York City, New York
Founded
2009

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