Fraud Data Analyst

Introduction

Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today - planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.

Your Role And Responsibilities

As a Fraud Data Analyst, you will play a critical role in detecting and preventing fraudulent activity for IBM Trusteer’s customers. You will be responsible for analyzing large volumes of data, identifying patterns and anomalies, and providing actionable insights and logics to mitigate and prevent fraud risks from all kinds. Your expertise in data analysis, statistical modeling, and fraud detection techniques will be instrumental in protecting our customers.

Required Technical And Professional Expertise

• Bachelor's degree in a relevant field such as statistics, mathematics, computer science, or a related discipline.
• At least two years of previous work experience in a technology company.
• Strong analytical and problem-solving skills with the ability to analyze complex data sets and identify trends, outliers, and anomalies.
• Proficiency in data analysis and visualization tools such as SQL, Python, Tableau, or similar tools.
• A team player - great communication skills, with a sense of ownership and of urgency.
  
  

Strong attention to detail and ability to work independently and within cross-functional teams.

Preferred Technical And Professional Experience

• SQL.
• BI tools.
• Python.
• Knowledge of fraud schemes, tactics, and fraud prevention strategies across various industries.