Founded: 2013
Headquarters: Portland, OR
Employees: 30
-2 Leadership
-10 Advisors
-7 Client Service Associates
-3 Planners
-3 Operational
-3 Compliance Reviewers
-2 Marketing
AUM: $1.8B and growing at 13-15% YoY
Number of Clients: 725
Client Base: Affluent & Emerging High Net Worth
• Avg Household = $1.1M
Service Model: Holistic financial planning & Discretionary Portfolio Management
Fee Structure: AUM-based, with optional planning subscription for younger, growing clients
Strategic Identity: Boutique RIA with a reputation for relationship-driven planning, trying to scale without losing “high-touch” standing
Advisor Recruitment Success: High-performing Advisors joined from captive wirehouse, bringing books to independent sector
Referral influx: Strong client satisfaction has led to accelerating organic referrals
Market successes: Tech-sector wealth in region and favorable equity markets
*Growth accelerating, but outpacing firm infrastructure
Capacity Issues
• Advisors operation near full capacity due to task mix (intake, data entry, packet edits, meeting prep), not client volume
• Client Service Advisors overwhelmed with onboarding, account transfers, and custodial paperwork
• Planners backlogged on plan updates and annual reviews
Referral influx: Strong client satisfaction has led to accelerating organic referrals
Market successes: Tech-sector wealth in region and favorable equity markets
*Growth accelerating, but outpacing firm infrastructure
Northwest Wealth Partners is a fictional Registered Investment Advisor (RIA) created for the purpose of demonstrating full‑stack operational analysis, workflow redesign, forecasting, workforce planning, and data governance capabilities. The firm’s characteristics (headcount, AUM, client base, growth rate, and organizational structure) were intentionally modeled to resemble a mid‑sized, fast‑growing boutique RIA facing real‑world operational strain.
To support the analysis, all underlying datasets used in this project were synthetically generated using a custom Python script. The script produced realistic but entirely fictional operational data, including household records, advisor assignments, onboarding workflows, planning inputs, custodial metadata, and compliance documentation indicators. This approach ensured that the project could demonstrate advanced analytical methods (data cleaning, reconciliation, workflow mapping, forecasting, and governance design) without relying on any proprietary or confidential information.