Data Services Associate

Focus Partners Wealth•Chicago, IL

14d•Onsite

About The Position

Our Data Services Associate, based in our downtown Chicago office, plays a key role in supporting the Operations team by maintaining accurate portfolio data and ensuring the integrity of client reporting through Addepar. This position requires exceptional attention to detail, strong analytical and communication skills, and the ability to collaborate effectively across internal teams and external partners.

Requirements

Minimum of 3 years of operations experience within an asset management, wealth management, family office, or brokerage environment.
Experience with Addepar or a similar portfolio accounting/reporting platform.
Demonstrated experience performing account and portfolio reconciliations is a must.
Advanced proficiency in Microsoft Excel.
Experience working with multiple custodians, including Pershing, Schwab, and Fidelity.
Strong analytical and problem-solving skills with exceptional attention to detail.
Excellent organizational skills with the ability to manage multiple priorities and meet deadlines.
Effective written and verbal communication skills.
A strong desire to become an Addepar subject matter expert and continuously expand technical knowledge.

Nice To Haves

Bachelor's degree preferred but not required.

Responsibilities

Execute daily operational processes related to establishing, maintaining, and reporting on client portfolios within Addepar.
Perform daily reconciliation of transactions, positions, and cost basis across custodial platforms.
Load and reconcile manually maintained accounts as needed.
Monitor, research, and process corporate actions impacting client portfolios.
Support month-end, quarter-end, and year-end reporting and reconciliation activities.
Assist with data integrity initiatives, audits, and ongoing enhancements within Addepar.
Investigate and resolve reconciliation breaks, escalating issues when appropriate.
Partner with Operations and other internal teams to ensure the accuracy and completeness of portfolio data.
Contribute to process improvement initiatives focused on increasing automation, efficiency, and data quality.