Threat Intelligence Specialist, SPS Threat Intelligence

DESCRIPTION

Amazon’s Selling Partner Risk (SPR) team within the Selling Partner Services (SPS) space designs and implements policies, tools and technological innovations to protect customers by identifying and preventing abuse worldwide. Our growth requires highly skilled 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 are capable of breaking down and solving complex problems. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon’s mission of being Earth’s most customer-centric company.

Our Threat Intelligence (TI) team is looking for an experienced Intelligence Specialist with demonstrated subject matter expertise in fraud threat intelligence either in the private or public sector. Ideal candidates have served in a capacity within law enforcement and the intelligence community performing a wide variety of support functions to include detecting, identifying, assessing, exploiting, countering and/or neutralizing the intelligence collection or adversarial efforts of fraud actors. This position will be based in Singapore to support the SPS TI team’s APAC outfit. You will be on a team responsible for identifying and analyzing fraud activity, discovering tactics, techniques, and procedures employed by the fraud actors along with new fraud trents, and providing intelligence support to investigations. You will ideally also identify areas for process improvement and work with other cross-functional teams to automate and streamline new and existing workflows. This position will provide you with a challenging opportunity. As a TI Specialist, you will work closely with partner teams and provide TI collection oversight. To be successful, the candidate must possess a customer-oriented attitude; have the highest standards of professionalism, and thrive in a work environment where everyone’s views are respected and valued.

Key job responsibilities
- Investigate fraudulent/illegal activity by fraud actors across different platforms spanning the clear and deep/dark web, including fraud forums and fraud-as-a-service marketplaces, and conduct link analysis to identify fraud actor networks.

• Write and execute SQL queries and analyze large datasets as well as third-party intelligence to uncover fraud signals, patterns and trends.
• Actively strengthen intelligence gathering, and investigation SOPs.
• Contribute to automation and ML-based fraud detection logic.
• Collaborate cross-functionally with Risk, Abuse, Legal, and Cybersecurity teams to mitigate fraud.

About the team
The SPS Threat Intelligence team protects Amazon and its subsidiaries by proactively analyzing new security threats, identifying malicious actors, and researching the evolving threat landscape. We partner with teams throughout Amazon to facilitate information sharing and increase security resilience through cross-functional collaboration. We share actionable threat information and focus on continually developing collaboration and partnerships with security & intelligence teams throughout Amazon and the security industry. TI drives and enhances our ability to identify fraud actors, respond to incidents, and to stay one step ahead of our adversaries

BASIC QUALIFICATIONS

• High proficiency in Mandarin Chinese (speaking, reading and writing) for China market-focused research and communication purposes.
• 4+ years' professional experience working in a threat intelligence or investigations role focused on fraud, abuse, cybercrime, or trust and safety.
• Proven experience with analyzing large datasets and performing database querying with SQL.
• Strong OSINT/DDW skills and experience with leading threat intelligence vendors and tools.
• Excellent written communication skills to produce intelligence reports.

PREFERRED QUALIFICATIONS

• Familiarity with Chinese e-commerce market and threat landscape.
• Experience with process optimization and/or automation.
• Professional exposure to fraud detection models and abuse metrics.

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