Portfolio Analytics Architect
Addepar (company site, opens in a new tab)2+ yrsPuneOn-siteDirect career pageEst. 12–22 LPA
Posted 3h ago
Reach people at Addepar
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Addepar you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end data validation for data conversion projects focusing on portfolio analytics.
- Develop and automate scalable data anomaly detection and remediation processes using Python and Databricks.
- Coordinate cross-regional project teams, manage risk escalations, and deliver status updates ensuring timely project completion.
Minimum Requirements
- Bachelor’s degree in Finance, Mathematics, Statistics, Engineering, Business, Economics or related field.
- 2+ years experience in Technology, Finance, Consulting, fund accounting, or investment operations.
- Proficiency in Python, Spark and/or SQL, with working knowledge of REST APIs and ETL fundamentals.
- Must have legal authorization to work on day one; no visa sponsorship available for this role.
Ideal Candidate Profile
- Experience working hands-on with complex multi-asset investment datasets including portfolio, performance and market data.
- Ability to create and maintain automated validation tools and documentation for large-scale data projects.
- Skilled at managing multiple projects across global time zones with clear communication and problem-solving focus.