Engineering Analyst, Payments, Trust and Safety

Google is a leading global technology company known for internet-related services and products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI · Cybersecurity · Enterprise SaaS

Description For Engineering Analyst, Payments, Trust and Safety

Google's Trust & Safety team is seeking an Engineering Analyst for their Payments, Trust and Safety division in Bengaluru, India. This mid-level role requires a bachelor's degree in a quantitative field and 2 years of experience in data analysis and project management. The ideal candidate will have strong programming skills in Python, R, and SQL, with a focus on statistical analysis and machine learning.

As an Engineering Analyst, you'll be at the forefront of protecting Google's users and partners from abuse across various products. Your responsibilities will include managing payment fraud, conducting data analysis, and collaborating with cross-functional teams to develop and implement risk mitigation strategies. You'll work in a fast-paced, global environment, using your technical expertise and problem-solving skills to ensure the highest levels of user safety.

This role offers an exciting opportunity to make a significant impact on Google's trust and safety initiatives. You'll be part of a diverse team of experts working to make the internet a safer place, dealing with challenges in areas such as malware, spam, and account hijacking. If you're passionate about data analysis, fraud prevention, and creating a secure digital environment, this position at Google could be your next career move.

Join Google's Trust & Safety team and contribute to protecting millions of users while working with cutting-edge technology and brilliant minds in the field of data analysis and security.

Last updated 13 days ago

Responsibilities For Engineering Analyst, Payments, Trust and Safety

  • Promote user trust and safety, managing and mitigating payment fraud and abuse for Google products and services
  • Investigate fraud and abuse incidents and identify patterns and trends to generate risk management solutions
  • Perform statistical analysis using payments and risk data warehouses
  • Collaborate with Engineering and Product teams to create and enhance tools, develop signals, improve system functionality, accuracy, and efficiency
  • Perform assessment for the riskiness and vulnerability of products and features, design and implement fraud and abuse mitigation strategies
  • Engage and collaborate with cross-functional teams globally, work closely with Engineers, Product Managers, and various internal and external stakeholders to launch risk mitigation solutions
  • Participate in the on-call rotation schedule to manage escalations that may occur outside of standard non-working hours including weekends/holidays

Requirements For Engineering Analyst, Payments, Trust and Safety

Python
  • Bachelor's degree in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research), or equivalent practical experience
  • 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data
  • 2 years of experience managing projects and defining project scope, goals, and deliverables
  • Experience with programming languages (e.g., Python, R, Julia) and database languages (e.g., SQL)

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