Internal Risk Specialist, Special Projects & Investigations

Amazon is hiring an Internal Risk Specialist, Special Projects & Investigations in Singapore, Singapore. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include SQL, threat intelligence and fraud investigation.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead complex internal risk and fraud investigations using SQL, AI-native tooling, and agentic automation.

sql

threat-intelligencefraud-investigationcybersecurityagentic-airisk-management

Note:
• Candidate must be authorized to work in Singapore without sponsorship.
•High proficiency in Mandarin Chinese (speaking, reading and writing) for China market-focused research and communication purposes.
• Experience in threat intelligence or investigations role focused on fraud, abuse, cybercrime, or trust and safety is required

Amazon's Internal Risk team sits at the intersection of advanced investigation, emerging technology, and global business impact, and we're looking for an investigator ready to operate at that level. This is a role for someone who has built real expertise in fraud, cyber, or financial crime, and is ready to apply it where the complexity is greatest.

We are seeking an experienced Security Industry Specialist to join our team. The ideal candidate brings a strong foundation in risk management, digital fraud, compliance, or cyber investigations, with demonstrated experience conducting technical investigations across domains such as cybersecurity, cryptocurrency, fraud auditing, or security engineering. In this role, you will lead complex, end to end investigations using SQL, AI native tooling, and agentic automation to identify patterns, scale findings, and contribute to systematic solutions for risk challenges that span Amazon's global operations. We are looking for someone who is analytically rigorous and skilled at translating investigative findings into clear, credible intelligence for senior stakeholders.

In this role, you will also collaborate with Legal and regional HR partners to develop interview strategy for suspected bad actors, conduct those interviews, and produce disciplinary recommendations that result in meaningful accountability outcomes. You will be expected to manage your investigations with a high degree of independence while knowing when to escalate and how to communicate findings with precision and confidence. This is a high visibility role that offers broad exposure to Amazon's risk landscape and real ownership over outcomes that matter.

Key job responsibilities
• Use SQL to complete risk analyses using complex data sets.
• Use high-level judgment to own our most complex internal risk investigations, including both the investigative and employee interview processes.
• Use data and Agentic AI solutions to scale risk signals and identify bad actors individually and in partnership with our Data Science team.
• Conduct large scale deep dives to derive insights about tactics used to conduct abuse on our stores; identify gaps and risk in Amazon's current mechanisms, systems, and policies and recommend solutions to product/policy owning teams.
• Discover solutions and convey detailed technical knowledge to engineering, legal, and program/product management teams.

About the team
The Special Projects and Investigations (SPI) team sits within Amazon's Trust & Store Integrity organization and is responsible for identifying and dismantling the most complex abuse threats across Amazon's global business, from internal collusion and insider risk to fraud, cybersecurity threats, and regulatory violations. We design and implement the policies, tools, and investigative capabilities that protect customers, selling partners, and Amazon itself from bad actors operating at scale.

Our team is built on deep subject matter expertise across fraud, cybersecurity, data security, insider risk, and compliance, paired with a strong bias toward data-driven investigation and technical problem solving. We use AI-native tooling and automation as force multipliers, and we expect our investigators to help define what modern, high-impact investigation looks like, not just execute a playbook. This is a team that takes hard problems seriously and supports the people solving them. We move fast, learn from failure, and bring genuine curiosity to work that is consequential, where the puzzles are complex, the stakes are real, and the results matter.

Basic qualifications

- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- High proficiency in Mandarin Chinese (speaking, reading and writing) for China market-focused research and communication purposes.
- 5+ years of relevant security industry experience in handling risk, fraud investigations, or regulatory compliance.
- Highly proficient in data analysis using SQL and Microsoft Excel.
- Strong critical thinker with the vision to work both tactically and strategically.
- Demonstrated use of AI tools, LLMs, or automation frameworks to accelerate or scale analytical and investigative workflows.

Preferred qualifications

- Background in e-commerce, fraud, security compliance, law enforcement, or intelligence organizations.
- 1+ years of Digital Forensics & E-Discovery Law experience
- Experience in adjacent domain areas like network engineering, Infosec, software development for e-commerce, or work involving software for API's or web scraping.
- Experience working with Threat Intelligence teams, threat modeling and familiarity with open-source intelligence (OSINT).
- Master’s degree in, or practical experience with, data science or machine learning.

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

Internal Risk Specialist, Special Projects & Investigations at Amazon rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● 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

Internal Risk Specialist, Special Projects & Investigations is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in SG, Singapore.
The job was posted on July 24, 2026.
Seniority: senior.
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

Threat IntelligenceFraud InvestigationCybersecurityAgentic AIRisk ManagementSQL

Questions you could be asked

Tell me about a project where threat intelligence was part of your work. What did you do?
Tell me about a project where fraud investigation was part of your work. What did you do?
Tell me about a project where cybersecurity was part of your work. What did you do?
Tell me about a project where agentic ai 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?

Adapt your resume

List these exact terms on your resume: Threat Intelligence, Fraud Investigation, Cybersecurity, Agentic AI, and Risk Management. 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.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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