Senior Threat Detection Engineer - Hybrid AI Fraud Tools

Target; Brooklyn Park (MN); Hybrid; USD 98,000 - 176,000; Full time

Benefits offered by this job

Health benefits

401(k)

Paid time off

Job summary

Target is seeking a Senior Engineer in Minnesota to build fraud detection tooling and scalable workflows. You will collaborate with fraud analysts to investigate and mitigate fraud and abuse across Target.

The role emphasizes using AI and automation to reduce repetitive work, connect data and tools, and surface relevant insights quickly while keeping investigators at the center of decision-making.

Qualifications

• Four-year degree in Computer Science, Computer Engineering or equivalent preferred
• 5+ years of professional experience in this role, or a relevant and similar role
• Experience working with Kotlin/Java, Kafka, SQL/NoSQL DB
• UI development experience using React
• Familiarity with LLM based coding assistants in everyday work
• Experience with Spring Boot Framework, Gradle, any unit & integration testing framework
• Willing to work in a team-oriented environment
• Interested in cyber threat or fraud detection
• Ability to demonstrate analytical expertise, close attention to detail, excellent critical thinking, and adaptive learning
• Excellent written and oral communication skills

Responsibilities

• Build scalable tools and workflows that enable fraud analysts and investigators to detect, investigate, and mitigate fraud
• Apply AI and automation to reduce repetitive manual work, streamline investigator workflows, connect data and tools, and surface relevant insights more quickly
• Collaborate with engineers, analysts and investigators to turn opportunities into reliable, production-ready solutions while keeping investigators at the center of decision-making

Skills

Kotlin/Java

React UI

Kafka

SQL/NoSQL

Spring Boot

AI/Automation

Fraud detection interest

Team player

Education

Bachelor's degree in CS/CE or equivalent

Tools

Gradle

Job description

Target is seeking a Senior Engineer in Minnesota to build fraud detection tooling and scalable workflows. You will collaborate with fraud analysts to investigate and mitigate fraud and abuse across Target.

The role emphasizes using AI and automation to reduce repetitive work, connect data and tools, and surface relevant insights quickly while keeping investigators at the center of decision-making.