Risk and Fraud Manager, Amazon Credit, Amazon LATAM Payments Trust

Amazon is hiring a Risk and Fraud Manager, Amazon Credit, Amazon LATAM Payments Trust in São Paulo, Brazil. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
The posting mentions Replicate, fraud prevention and risk management among its tools and skills.
Level classes it as a mid-level role.
Amazon has 21,000+ other open roles on Level.
Posted within the past week.

AI in this role

Own risk and fraud prevention strategies, mechanisms, and metrics for Amazon's first-party lending product in Brazil.

replicate

fraud-preventionrisk-managementdata-analysisidentity-verificationlending

Own risk and fraud prevention for Amazon Crédito, Amazon's first-party lending product in Brazil, and protect a brand-new credit business from day one. You will map the product journey end-to-end, find where fraudsters and abusers get in, and build the mechanisms that stop them — before losses scale.

This is a builder's role at the intersection of lending, identity, and payment risk. Embedded with the Amazon Crédito team and reporting into Payments Trust's Integrity function, you will help shape the fraud & abuse approach for the product, assess and prioritize risk against a defined risk appetite, ship detection and prevention mechanisms, stand up the metrics that prove they work, and lead the response when new fraud patterns emerge. As Amazon Crédito scales, you are accountable for keeping fraud and abuse loss within acceptable thresholds.

Key job responsibilities
- Map the journey and identify risks. Map the Amazon Crédito customer journey end to end — sign-up, credit-line usage, and post-purchase disputes — pinpoint where fraud and abuse get in, assess exposure by likelihood and impact against the product's risk appetite, and prioritize where controls are needed most.
- Design and support prevention solutions. Know what the market and Amazon offer, and build data-backed business cases that support build-vs-integrate prioritization — partnering with engineering, product, and data teams to ship controls that stop fraud and abuse without friction for legitimate customers.
- Detect emerging fraud patterns and respond to spikes. Build mechanisms that surface new fraud tactics early, set alerts and thresholds, and act quickly to contain losses when a spike happens.
- Set the metrics and track results. Define how success is measured, make the numbers visible in real time, and hold the program to its loss-reduction targets.
- Report progress to leadership. Give clear, data-backed updates on the risks, how controls perform, and what's next.
- Work hand in hand with the Amazon Crédito team. Join their weekly rhythm, build the relationships that make prevention work, and bring the fraud & abuse view into product and business decisions.

A day in the life
You start in the weekly, listening for what's changing in Amazon Crédito and where new exposure is opening up. Mid-morning you dig into a flagged pattern — a cluster of accounts sharing the same device — and decide whether it's a spike worth acting on. After lunch you work with engineering to scope a new identity-check control, then update your metrics dashboard ahead of a leadership review. You close the day drafting a one-pager on an emerging fraud pattern, with a clear recommendation. Some days you're building strategy; some days you're stopping losses in real time. Both matter.

About the team
Amazon LATAM Payments Trust builds the compliance, identity, and fraud & abuse prevention mechanisms that create trust in payment transactions — letting millions of customers transact safely and enabling Amazon to scale new products in a dynamic payments market. We own this end-to-end across the region, from setting strategy to shipping the mechanisms that run in production.
We are a small, senior, high-trust team with a lot of ownership and a strong bias for action. We think in mechanisms, not one-offs; we ground decisions in data; and we care about building things that last and replicate across markets.

Basic qualifications

- Experience managing technical products or online services
- Experience in product, program, or project management in leading cross-functional teams in delivery of major new products or services
- Product management experience

Preferred qualifications

- Knowledge of SQL and VBA at an advanced level
- Experience building and analyzing cost/benefit scenarios and business cases and communicating results throughout the organization
- Experience and understanding of the workflow within a marketing, production, or creative department or company

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Risk and Fraud Manager, Amazon Credit, Amazon LATAM Payments Trust at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Risk and Fraud Manager, Amazon Credit, Amazon LATAM Payments Trust is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in BR, SP, Sao Paulo.
The job was posted on October 22, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fraud PreventionRisk ManagementData AnalysisIdentity VerificationLendingReplicate

Questions you could be asked

Tell me about a project where fraud prevention was part of your work. What did you do?
Tell me about a project where risk management was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where identity verification was part of your work. What did you do?
Tell me about a project where lending was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Fraud Prevention, Risk Management, Data Analysis, Identity Verification, and Lending. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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