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Amazon.com Services LLC is seeking a seasoned financial analyst to own planning, forecasting, and strategic decision support for Seller Bad Debt. You will blend data proficiency with business acumen to reduce gross bad debt and optimize fund recovery, directly influencing capital allocation across the Selling Partner Services organization.
You will work on a forecasting process across OP1, QBR, and MBR, building bottoms-up models with strong attention to detail, and you will communicate insights
Description
This is not a typical finance role. This is a front-line position in one of Amazon's most consequential financial risk domains — Seller Bad Debt (SBD) — where your analysis directly determines how hundreds of millions of dollars flow through Amazon's books, and your insights shape the programs that protect the world's largest marketplace from financial exploitation.
Description
This is not a typical finance role. This is a front-line position in one of Amazon's most consequential financial risk domains — Seller Bad Debt (SBD) — where your analysis directly determines how hundreds of millions of dollars flow through Amazon's books, and your insights shape the programs that protect the world's largest marketplace from financial exploitation.
You will own the financial planning, forecasting, and strategic decision support for the Seller Collections ecosystem, with a mandate to reduce gross bad debt and optimize fund recovery. Your work will have direct visibility to VP-level leadership and will influence capital allocation decisions across the Selling Partner Services organization.
If you thrive on ambiguity, love untangling complex data to find the signal in the noise, and want a role where your analysis has real, measurable impact on Amazon's bottom line then this is it.
Transactional Seller Bad Debt is comprised of three interconnected components — Gross Seller Bad Debt (driven primarily by Negative Seller Balance reserves), Bad Actor Fund Recoveries, and Damages — each with its own drivers, levers, and forecasting challenges. You won't just report the numbers; you'll decode why they move.
You'll hunt bad actors — with data. The fraud landscape you'll analyze is sophisticated and constantly evolving. Your analysis will quantify the financial impact of each vector, identify emerging patterns before they become material, and arm the business with the data to act decisively.
You'll build and defend a forecast under a microscope. The Seller Bad Debt forecast has direct visibility at the senior-most levels of finance leadership. You will own the end-to-end forecasting process across planning cycles (OP1, QBR, MBR), building bottoms-up models.
Basic Qualifications