Portfolio Manager vs Loan Officer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Portfolio Manager
Manage investment portfolios to maximise returns for clients.
Loan Officer
Evaluate and approve loan applications for individuals and businesses.
Portfolio Manager earns more on average — the national median is $26,050/year (34%) higher than a Loan Officer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Portfolio Manager vs Loan Officer — Salary by City
National median figures in USD across top cities.
| City | Portfolio Manager | Loan Officer | Difference |
|---|---|---|---|
| San Francisco, CA | $151,713 | $112,457 | Portfolio +$39,256 |
| New York, NY | $123,694 | $90,395 | Portfolio +$33,299 |
| Seattle, WA | $146,467 | $110,029 | Portfolio +$36,438 |
| Austin, TX | $113,384 | $83,164 | Portfolio +$30,220 |
| Chicago, IL | $109,474 | $84,407 | Portfolio +$25,067 |
| Boston, MA | $136,585 | $100,682 | Portfolio +$35,903 |
| London, UK | £78,248 | £59,291 | Portfolio +$18,957 |
| Toronto, Canada | CA$138,044 | CA$104,403 | Portfolio +$33,641 |
Frequently Asked Questions
Does a Portfolio Manager or Loan Officer earn more?+
A Portfolio Manager earns more on average. The national median salary for a Portfolio Manager is $102,740/year, compared to $76,690/year for a Loan Officer — a difference of $26,050 (34%).
Which has better career growth — Portfolio Manager or Loan Officer?+
Portfolio Manager roles are growing at 12% YoY while Loan Officer demand is growing at 6% YoY. Portfolio Manager has stronger near-term demand growth.
Can you switch from Portfolio Manager to Loan Officer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate — Portfolio Manager or Loan Officer?+
Portfolio Manager has a lower AI automation risk (42% vs 80%). Based on Oxford Martin School and McKinsey 2023 analysis.