Goldman Sachs Salaries in United States

We don't have access to Goldman Sachs's internal payroll data, so these are modeled estimates, not confirmed figures. They're calculated by applying a disclosed finance & banking pay-positioning factor to PayMetric Labs' independent United States role benchmarks, using the role's real 25th-75th percentile spread. For example, the estimated Data Scientist range at Goldman Sachs is $154K-$180K, against a United States national median of $160K for that role.

No. This page is not sourced from, provided by, or endorsed by Goldman Sachs. It's an independent estimate based on how finance & banking employers in United States typically position pay relative to the market median, split by role type. See our full disclaimer for how these estimates are built.

Goldman Sachs is modeled in the "Finance & Banking" tier. Engineering and data roles carry a larger modeled premium than analyst or generalist roles within the same tier, which is why the estimated uplift varies by role in the table above rather than applying one flat percentage across the board.

The ranges above are gross estimates. Open the linked role page for any position at Goldman Sachs and use the take-home pay calculator there to see the net figure after income tax and other deductions at United States 2026 rates.

The estimate can differ from a live offer when the title covers a different level, city, pay zone, business unit, or employment arrangement. It also excludes the value of equity, bonus, pension, and benefits unless a public vacancy states them separately. Check the role, location, and total package before using the estimate in a negotiation.

Use it as independent market context, not proof of Goldman Sachs's internal pay bands. A stronger conversation compares the role level, location, responsibilities, and complete package with the market, then asks what would move the offer closer to the appropriate range.