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Scaled abuse specialist, special projects & investigations (trento)

Trento
Amazon
Pubblicato il 13 maggio
Descrizione

Scaled Abuse Specialist, Special Projects & Investigations

Job ID: | Amazon.com Services LLC

We are looking for an experienced industry specialist with a background in risk, digital fraud, compliance, or cyber investigations, who also has advanced data analysis skills (SQL, Python, Machine Learning, Data Science). This role will manage critical, high‑impact projects and scale findings through technology and analytics to interpret risks across Amazon’s entire business segment or apply other industry experience to develop systematic solutions to endemic problems.

The Customer Trust (CT) organization’s mission is to keep Amazon stores safe and trustworthy for buyers, brands, and selling partners, by enabling our partners to provide great CX while ensuring bad actors are kept out of our stores. The Special Projects & Investigations (SPI) team protects Amazon’s worldwide stores by creating projects and programs focused on detecting abuse at its earliest point and identifying root causes, vulnerabilities, or exploits to systematically prevent future abuse.

We value candidates who move fast, have an entrepreneurial spirit to create new solutions, a tenacity to get things done, thrive in an environment of ambiguity and change, and can break down and solve complex problems.

We catch bad actors and stop online fraud. It’s fun, hard, and matters. We are passionate about protecting our partners and customers from bad actors and want a candidate that shares that passion.

Key Responsibilities

- Complete risk analyses and manipulate data in complex data sets (SQL, Python, R, etc.).
- Use high‑level judgment to inform enforcement decisions.
- Identify gaps and risks in Amazon’s current mechanisms and policies and recommend solutions to product/policy owning teams.
- Use data and technical skills to discover new ways to scale deep‑dive signals, identifying many bad actors and sizing the issue.
- Own the complete life cycle of one or more complex problems—from identification through scaling the solutions.
- Break problems into manageable pieces, prioritize ruthlessly, and deliver results in an ambiguous environment.
- Conduct large‑scale deep dives to derive insights about tactics used to conduct abuse, identifying gaps and risk in Amazon’s systems and policies.
- Write documents for partner teams and executives that identify problems, propose technical solutions, and drive alignment among stakeholders.
- Own partnerships with stakeholder teams, guiding trade‑offs, and communicating goals, roles and responsibilities clearly.
- Utilize agentic AI systems to automate workflows, scale pattern detection, and accelerate investigation and detection projects.

A day in the life: You might dive deep into data to uncover emerging fraud patterns, collaborate across Amazon to implement protective solutions, or develop new detection methods. You’ll balance independent analytical work with team collaboration, sharing insights and supporting colleagues.

About the Team

Our team comprises fraud and abuse practitioners who use threat‑intelligence analytics and technical skills to understand bad‑actor ecosystems. We bring industry expertise and broad risk experience, wear many hats, and take ownership of hard‑to‑solve problem areas. We speak 12 languages and write code in 3. We encourage experimentation, curiosity, and continuous learning.

Basic Qualifications

- Bachelor’s degree.
- 3+ years of relevant industry experience in risk or fraud investigations, identity and access management, e‑commerce, analytics, or security.
- Proficient with deriving insights from big data using SQL and manipulating/processing data with Python and AI tools.
- Proven ability to deliver complex projects across multiple teams.

Preferred Qualifications

- Experience in written and verbal communication to technical and non‑technical audiences, including senior leadership.
- Master’s degree in math, statistics, computer science, or related field, or experience in data science, machine learning or data mining.
- Experience with Amazon Redshift and other AWS technologies.
- Experience in e‑commerce or tech industry working on scaled abuse.
- Experience in relevant industries such as identity and access management, security, investigations, risk, compliance or project management.
- Exceptional ownership and bias for action: willing to move quickly and decisively.

Equal Opportunity Employer

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County Application Notice

Job duties for this position include: working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following all federal, state, and local laws and company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Benefits

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance, and options for supplemental life plans, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at

Salary Range

USA, AZ, Tempe – 102,000.00 – 178,400.00 USD annually
USA, CA, San Diego – 102,000.00 – 178,400.00 USD annually
USA, VA, Arlington – 102,000.00 – 178,400.00 USD annually
USA, WA, Seattle – 102,000.00 – 178,400.00 USD annually

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