We are seeking an experienced Threat Intelligence, cyber security and risk management leader with proven expertise in cyber security, eCommerce fraud investigations and risk mining (SQL, Python, Machine Learning, Data Science, etc.) to join The Trust & Store Integrity team (TSI) within SPS (Selling Partner Services).
The individual in this role will lead a team of Threat Intelligence experts to investigate complex fraud schemes, identify abuse patterns, specific vulnerabilities and propose risk mitigation solutions to prevent bad actors from committing fraud on our stores. The Manager, Sr. Threat Intelligence Specialist is responsible for setting team goals, defining metrics to measure progress, and providing strategic consultation and guidance on emerging fraud trends in eCommerce, cyber security and compliance domains. An Individual in this role will own a portfolio of critical and high impact risk investigations and root cause analysis projects to scale their impact through technology and analytics (SQL, Python, machine learning). Further, an individual in this role is responsible to interpret and connect risk signals across multiple risk teams within SPS and other Amazon businesses.
The ideal candidate should be passionate about building teams (hiring, developing etc.), setting mechanisms to deliver results in a fast-paced environment, solving highly ambiguous risk problems through use of advanced data analytics and technology. They will lead their team to identify risk patterns, uncover process and technology gaps to prevent fraud at scale across Amazon stores worldwide. To be successful, the candidate must possess a customer-oriented attitude combined with passion for solving complex fraud problems, and comfortable with operating in a highly ambiguous and constantly evolving threat landscape and thrive in a collaborative work environment where everyone's views are respected and valued.
Key job responsibilities
* Write and present documents (1-pagers, 4-pagers, 6-pagers etc.) to peers and senior leadership based on your team’s research, collection, and analysis of intelligence data. Create intelligence assessments that are free of bias.
* Manage risk analyses using complex data sets leveraging SQL, Python, R etc.
* Build cross-team mechanisms to drive effective teamwork, communication, and collaboration across multiple groups with competing priorities.
* Develop an in-depth understanding of the drivers for complex fraud schemes and create scalable processes for partner teams to share findings and scale the root cause analysis of fraud risks in Amazon's internal business workflows and systems.
* Define the metrics, measurements and analytical tools to quantify surface area of risk, business impact and implement mechanisms to track progress on efforts to reduce those risks.
* Anticipate bottlenecks, make tradeoffs to balance the business impact versus resource constraints and escalate effectively when necessary.
* Adapts quickly to changing priorities, seeks new ideas, and re-aligns their team’s priority/roadmap to maximize business impact.
About the team
The team The Trust & Store Integrity team (TSI) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of selling partners. We embrace our differences and are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees globally. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
