Amazon Web Services Development Center Germany GmbH
Investigation Loss Prevention, Planning/Development, Cloud Computing
AWSFraudAnalystII
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AWS Fraud Analyst II at Amazon Web Services Development Center Germany GmbH. Skills: Fraud prevention, Data analysis, Risk mitigation. Identify fraud patterns. Take ad hoc actions”
What You'll Achieve.
Improve efficiency; Reduce time to identify fraud; Prevent sophisticated fraud; Reduce fraud related losses
Industry & Context.
Solving unstructured problems; Data-driven decision making
National of EU member state
What They're Looking For.
Must Have
Bachelor's Degree in analytical field, 3+ years in Analytics/BI environment, Proficiency in SQL/Excel/Tableau, Ability to extract data and design analyses
Nice to Have
Basic Python/Bash experience, Experience with AWS technologies, Experience in fraud analytics/risk scoring
What You'll Do.
Identify fraud patterns
Use statistical analysis
Segment customer behavior
Develop targeted solutions
Report on fraud trends
Communicate mitigation actions
Partner with Data Scientists
Build counter protections
Lead special projects
Design operational best practices
Work with cross-functional teams
Drive process improvements
How You'll Work.
Team & Collaboration
Partner with Data Scientists; Work with cross-functional teams; Work with stakeholders
Communication Scope
Oral communication; Written communication
Full Job Description
As a Business Analyst, you will work closely with Data Scientists to monitor the flavor/ trend of compromise on AWS worldwide and leverage your analytical and data skills to deep dive on a myriad of fraud activity. You will be at the forefront of keeping abreast of trends and fraud issues impacting the Cloud industry to ensure AWS is leading the curve in identifying, mitigating and preventing fraud attacks. Key job responsibilities As a Business Analyst your responsibilities will include: * Identify new and emerging patterns of fraud and compromise and proactively take ad hoc actions to improve efficiency and reduce time to identify new fraud techniques, tactics and procedures. * Use statistical analysis to segment customer behavior and develop targeted solutions to prevent sophisticated fraud activity. * Report on daily fraud trends and cluster characteristics, perform deep dives and write summaries. * Analyze emerging fraud MOs, ad hoc mitigation actions e.g. rule performance trends and communicate it to larger fraud community. Partner with Data Scientists to build long-term counter protections. * Contribute and/or lead special projects which reduce fraud related losses, while maintaining focus on a positive customer experience. * Design and influence operational best practices within the AWS Fraud Prevention Compromise team. * Work with cross-functional teams across Amazon/AWS for collaboration on fraud risks and preventative measures to mitigate fraud risk. * Work with stakeholders to drive process improvements that will impact internal and external customers. A day in the life Learn and Be Curious. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the car
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