Engineering Analyst

Key Skills

Aartificial intelligence, C Programming, C++, Data science techniques, Generative AI, Java Programming, Large Language Models - LLMs, Machine learning techniques, Python Programming, R Programming, Scikit-learn

Job Description

Minimum qualifications:

• 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 or a data science setting.
• Experience with programming languages (e.g., Python, R, Julia) and database languages (e.g., SQL).

Preferred qualifications:

• Master’s degree or PhD in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.), or a related field.
• 2 years of experience in the Payments industry, working on risk or fraud management.
• Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript) or data-focused programming.
• Experience working with Large Language Models (LLMs).
• Knowledge of one or more of the following areas: Statistical analysis and Machine Learning libraries (e.g., R, Scikit-learn, Tensorflow), Programming languages (e.g., Python, C/C++), LLMs, or Generative AI.
• Ability to generate actionable insights to drive business impact.

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

In this role, you will be responsible for restricting or preventing fraudsters and abusers to ensure a safe and secure payments environment for our users. You will identify and solve complex problems and have problem-solving and technical skills to innovate and optimize our processes and tools. You will also work with Product and Engineering teams to make sure that new products and features provide a safe experience for users.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A diverse team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

Responsibilities

• 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.