Description:

Job Posting: Risk Manager Special Projects & Investigations (SPI)

Location: Bangalore (5 days a week, office-based)

About the Role:

The Special Projects & Investigations (SPI) team within Amazons Trust & Store Integrity (TSI) organization is seeking a data-savvy Risk Manager to help mitigate and prevent fraud and abuse across Amazon stores. This role acts as a force multiplier by owning complex gap-prevention initiatives, leveraging large-scale data analysis, and partnering closely with operations, product, policy, tech, and science teams.

The ideal candidate is highly flexible, analytical, and action-oriented, with a strong ability to dive deep, communicate clearly, and deliver results in a fast-changing, ambiguous environment.

Key Responsibilities:

- Conduct risk analyses using complex datasets (SQL, Python, R, or similar tools).

- Own and execute high-impact risk mitigation and prevention initiatives.

- Identify gaps and emerging risks in existing mechanisms, systems, and policies, and recommend scalable solutions.

- Use data and technical skills to discover, scale, and improve risk signals for abuse detection.

- Break down complex problems, prioritize ruthlessly, and deliver measurable results.

- Perform large-scale deep dives to uncover root causes, false positives, and false negatives.

- Partner with engineering, product, legal, policy, and program teams to design and implement solutions.

- Communicate insights and recommendations verbally, in writing, and via diagrams or documentation.

- Monitor post-launch performance of mitigations and continuously improve effectiveness.

- Influence stakeholders to adopt changes and sunset legacy mitigations where appropriate.

A Day in the Life:

- Deep dive into abuse patterns, risk gaps, and system mechanics.

- Align with partner teams on mitigation and prevention strategies.

- Launch initiatives and track progress using metrics and dashboards.

- Evaluate effectiveness of controls and refine based on data and anecdotes.

- Communicate findings, progress, and risks to diverse stakeholders.

Basic Qualifications:

- Bachelors degree or equivalent.

- 5+ years of experience in risk analysis, compliance, fraud prevention, audit, or related fields.

- Strong proficiency in data analysis (SQL and/or scripting languages such as Python, R, MATLAB).

- Experience working with large-scale datasets and metrics-driven decision making.

- Proven ability to deliver complex, cross-functional projects.

- Excellent written and verbal communication skills.

- High integrity and experience handling confidential information.

- Strong critical thinking skills with the ability to work tactically and strategically.

- Proficiency in Microsoft Excel.

Preferred Qualifications:

- Experience in compliance program management, governance, audit, or loss prevention.

- Background in fast-paced e-commerce or technology-driven organizations.

- Experience working with fraud, compliance, law enforcement, or intelligence teams.

- Exposure to process automation, standardization, or tooling.

- Familiarity with Threat Intelligence, OSINT, digital forensics, or internal investigations.

- Experience with AWS, Data Science, Machine Learning, or AI.

- Advanced degree or certifications (e.g., CISSP or similar risk/compliance credentials).

About the Team:

Trust & Store Integrity (TSI) protects customers, brands, selling partners, and Amazon from fraud, counterfeit, and abuse worldwide. The SPI team designs and implements innovative policies, tools, and technologies to solve some of Amazons hardest risk problems using data, curiosity, and persistence. We value diverse perspectives, ownership, and a bias for action.