Threat Intelligence Manager
Apply NowCompany: Amazon
Location: Seattle, WA 98115
Description:
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.
BASIC QUALIFICATIONS
* Bachelor's degree in Cybersecurity, Data Science/Analytics, Engineering, Mathematics, Statistics with 7+ years of relevant industry experience in threat intelligence handling cyber security risks, fraud investigations, or regulatory compliance, or equivalent industry experience.
* Excellent written and verbal communication skills to communicate security and business risk to a broad range of technical and non-technical audiences.
* 5+ years of team management experience in threat intelligence in the fraud, cybersecurity, or regulatory compliance.
* Proven history of managing talent and coaching team members to grow their career in technical and non-technical roles.
* Highly proficient in data analysis (SQL or experience with multi-terabyte and petabyte relational databases) or scripting (i.e., Python, R, MATLAB).
PREFERRED QUALIFICATIONS
* Master's degree in cybersecurity, Data science/Analytics, Engineering, Mathematics, Statistics.
* Experience working within Threat Intelligence, fraud, compliance, law enforcement, or intelligence organizations.
* Experience working in fast paced e-commerce organizations.
* Experience in Data Sciences, Machine Learning, or Artificial Intelligence.
* Experience drafting intelligence products following analytic tradecraft standards and style guides.
* CISSP Certification or experience in multiple CISSP knowledge areas
* Language proficiency welcomed (Mandarin, Russian, or Spanish).
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow 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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,100/year in our lowest geographic market up to $252,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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.
BASIC QUALIFICATIONS
* Bachelor's degree in Cybersecurity, Data Science/Analytics, Engineering, Mathematics, Statistics with 7+ years of relevant industry experience in threat intelligence handling cyber security risks, fraud investigations, or regulatory compliance, or equivalent industry experience.
* Excellent written and verbal communication skills to communicate security and business risk to a broad range of technical and non-technical audiences.
* 5+ years of team management experience in threat intelligence in the fraud, cybersecurity, or regulatory compliance.
* Proven history of managing talent and coaching team members to grow their career in technical and non-technical roles.
* Highly proficient in data analysis (SQL or experience with multi-terabyte and petabyte relational databases) or scripting (i.e., Python, R, MATLAB).
PREFERRED QUALIFICATIONS
* Master's degree in cybersecurity, Data science/Analytics, Engineering, Mathematics, Statistics.
* Experience working within Threat Intelligence, fraud, compliance, law enforcement, or intelligence organizations.
* Experience working in fast paced e-commerce organizations.
* Experience in Data Sciences, Machine Learning, or Artificial Intelligence.
* Experience drafting intelligence products following analytic tradecraft standards and style guides.
* CISSP Certification or experience in multiple CISSP knowledge areas
* Language proficiency welcomed (Mandarin, Russian, or Spanish).
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow 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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,100/year in our lowest geographic market up to $252,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.