AWS Fraud Analyst II, AWS Fraud Prevention

Amazon; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading technology company based in Berlin is seeking a Business Analyst to monitor fraud trends and collaborate with Data Scientists. This role involves identifying fraud patterns, using statistical analysis, and reporting findings. The ideal candidate will have a Bachelor's Degree in an analytical field and over three years of experience in analytics. The position emphasizes teamwork, communication, and problem-solving skills. Competitive compensation and an inclusive work culture are offered.

Qualifikationen

• 3+ years of experience in Analytics/Business Intelligence.
• Detail-oriented with the ability to solve unstructured problems.
• Proficiency in data extraction and processing.

Aufgaben

• Identify new patterns of fraud and improve detection efficiency.
• Use statistical analysis for customer behavior segmentation.
• Report daily fraud trends and communicate findings.

Kenntnisse

Analytical thinking

Data analysis

Problem solving

Communication skills

Ausbildung

Bachelor's Degree in an analytical field

Tools

SQL

Excel

Tableau

Python

Bash

Jobbeschreibung

Job ID: 3076395 | Amazon Web Services Development Center Germany GmbH

Overview

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 responsibilities

• 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 findings to the 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 career progression of our team members.

Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.

Learn more about Amazon on our Day 1 Blog: https://blog.aboutamazon.com

Basic Qualifications

• This role requires you to be a national of an EU member state.
• Bachelor’s Degree, preferably in an analytical field e.g. Economics, Operations, Business, Mathematics, Statistics, Finance or related.
• 3+ years of experience working in Analytics/Business Intelligence environment.
• Proficiency in extracting and processing data using SQL/Excel/Tableau.
• Detail-oriented with aptitude for solving unstructured problems. Ability to extract data from various sources and design/construct/execute complex analyses to support business problems.
• Excellent oral and written communication skills.

Preferred Qualifications

• Basic experience with scripting languages such as Python and Bash.
• Experience working with AWS technologies (EC2, CloudTrail, S3, SageMaker, etc.).
• Previous work as an Analyst in the context of fraud analytics or risk scoring.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need 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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.