Engineering Analyst, Payments
@ Google

Bengaluru, Karnataka, India
₹0
On Site
Full Time
Posted 22 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXX XXXXXX****** @google.com
Recommended after applying

Job Details

About the Role

The Engineering Analyst, Payments at Google is focused on identifying and mitigating payment fraud and abuse to ensure a secure environment for users. Working on the Trust & Safety team, you will collaborate with engineers and product managers to analyze data, identify trends, and develop solutions to fight fraud across Google products.

Key Responsibilities

  • Investigate fraud and abuse incidents to identify patterns
  • Perform statistical analysis on payments and risk data
  • Collaborate with Engineering and Product teams to enhance tools and signals
  • Assess risk and vulnerability of products and features
  • Participate in on-call rotation for managing escalations

Qualifications

  • Bachelor's degree or equivalent practical experience required
  • Minimum of 2 years in project management and data analysis
  • Experience with SQL, R, Python, or C++ preferred
  • Technical skills in machine learning systems an advantage
  • Excellent problem-solving and communication skills

About Google Trust & Safety

Google's Trust & Safety team is dedicated to protecting users and partners by mitigating risks related to abuse such as fraud, malware, spam, and account hijacking. This cross-functional team works globally to maintain trust in Google products.

Key skills/competency

  • Data Analysis
  • SQL
  • Python
  • Machine Learning
  • Project Management
  • Fraud Detection
  • Risk Assessment
  • Process Optimization
  • Communication
  • Problem Solving
Apply without a personalized resume

How to Get Hired at Google

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data analytics and fraud skills.
  • Research Google: Understand their Trust & Safety initiatives.
  • Prepare for technical tests: Practice SQL, Python, and statistical methods.
  • Showcase project experience: Share real examples of process optimization.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and data sets.
Practice Python coding challenges.
Study machine learning basics.
Analyze sample fraud case studies.

Behavioral Questions

Describe a time you solved a process issue.
Explain managing cross-functional project conflict.
Detail handling high-pressure escalations.
Discuss adapting to rapid changes.

Frequently Asked Questions