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Google Engineering Analyst Jobs 2026

Payments, Trust & Safety | Hybrid

Posted: 09 April 2026
Hyderabad & Bengaluru (Hybrid)
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Experience
2+ Years
Qualification
Bachelor's / Master's
Salary
As per standards
Job ID
Not Specified

Job Overview

Google is hiring for the role of Engineering Analyst (Payments, Trust and Safety) for its Hyderabad and Bengaluru offices.

This role is ideal for candidates with strong analytical and technical skills who are passionate about data analysis, fraud detection, and building secure payment ecosystems. In this position, you will work closely with engineering, product, and operations teams to identify fraud patterns, improve risk systems, and enhance user trust across Google’s platforms.

💡 Why this role?

This opportunity is perfect for professionals who want to work on real-world problems involving payments, risk analysis, and large-scale data systems to make a direct impact on user trust and platform security globally.

Roles & Responsibilities

  • Investigate fraud, scams, and abuse patterns across payment systems by analyzing large datasets to identify trends and generate insights.
  • Perform statistical analysis using risk and payments data, and collaborate with engineering and product teams to enhance tools and systems.
  • Develop signals and improve system accuracy and efficiency, while managing operations programs and tracking project timelines.
  • Identify process gaps and implement automation solutions, conducting risk and vulnerability assessments of products and features.
  • Respond to escalations within defined service levels and participate in on-call rotations including weekend coverage.

Eligibility Criteria

Education

Bachelor’s degree or equivalent practical experience. Master’s degree in a quantitative discipline is highly preferred.

Experience

Minimum 2 years of experience in data analysis, defining project scope, and hands-on experience with SQL, R, Python, or C++.

Technical & Core Competence

Strong knowledge of data analysis and statistical techniques. Hands-on experience with SQL, Python, R, or C++. Familiarity with machine learning libraries (e.g., Scikit-learn, TensorFlow), LLMs / Generative AI, and working with large data warehouses.

How to Apply

1

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2

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3

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Upload your updated resume and submit your application.

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