Description
DESCRIPTION:
Key job responsibilities
- Complete risk analyses and manipulate data in complex data sets (SQL, Python, R etc.)
- Use high-level judgment to inform our most complex enforcement decisions
- Identify gaps and risks in Amazon's current mechanisms and policies and recommend solutions to product/policy owning teams.
- Use data and/or technical skills to discover new ways to scale deep dive signals resulting in the identification of many bad actors and sizing the issue
- Owning the complete life cycle of one or more complex problems - from identification through scaling the solutions
- Break problems into manageable pieces, ruthlessly prioritizing, and delivering results in an ambiguous environment
- Conduct large scale deep dives to derive insights about tactics used to conduct abuse on our stores, identifying gaps and risk in Amazon's current mechanisms, 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 and guide appropriate trade-offs, clearly communicate goals, roles and responsibilities.
A day in the life
Your day might involve diving deep into data to uncover emerging fraud patterns, collaborating with teams across Amazon to implement protective solutions, or developing new detection methods. You'll balance independent analytical work with team collaboration, sharing insights and supporting colleagues in our shared mission.
About the team
Our team is comprised of practitioners of fraud and abuse, working to understand bad actor ecosystems using threat intelligence analytics and technical skills. We complement specialized industry skills with broad risk experiences gathered through years of experience to deliver results - we wear a lot of hats and take ownership of hard to solve problem areas whenever possible. We speak 12 languages, write code in 3 (mostly self-taught, on the job), and celebrate learning and taking risks. We encourage experimentation and curiosity while supporting each other to constantly learn and grow.
Our work is to solve hard puzzles and identify what hasn’t already been discovered - typically with data and always with a lot persistence and curiosity. If you like the sound of that, come join us.
BASIC QUALIFICATIONS:
- Bachelor’s or postgraduate degree in Information Security, Computer Science, Data Science/Analytics, Engineering, Mathematics, Statistics or related discipline.
- 3+ years of relevant industry experience in risk or fraud investigations, regulatory compliance, ecommerce, analytics, or security
- Proficient with deriving insights from big data using SQL & experience manipulating/processing data with Python
- Proven ability to deliver complex projects across multiple teams
PREFERRED QUALIFICATIONS:
- Experience working in e-commerce organizations
- Experience working within fraud, compliance, law enforcement, or intelligence organizations
- Experience with AWS services like Redshift, Neptune or Sagemaker
- Masters degree in or practical experience with data science or machine learning
- Excellent written and verbal communication skills to communicate security and business risk to a broad range of technical and non-technical audiences.
- High level of integrity and discretion to handle confidential information.
- Exceptional ownership and bias for action: willing to move quickly and decisively
- Proven ability to problem solve in large/complex/technical systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.