Payments Risk & Fraud Analytics Specialist

Google; Sunnyvale (CA); On-site; USD 132,000 - 189,000; Full time

Job summary

Google is hiring for a role in Trust and Safety focused on data analysis and payments risk management. You will work globally with engineers and product managers to identify and mitigate fraud, analyze trends, and inform risk solutions.

Strong programming and ML tool knowledge are a plus, with emphasis on scalable processes and cross-functional collaboration. Minimum qualifications include a Bachelor’s degree and 2 years in data analysis and payments risk, with project management experience.

Qualifications

• Bachelor's degree 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 in the Payments industry, working on risk or fraud management.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.
• Master's degree in a quantitative discipline is preferred.
• Strong project and program management skills are desired.
• Familiarity with programming languages (Python, R, C/C++), stats (Scipy) and ML libraries (Scikit-learn, TF) and LLMs.

Responsibilities

• Manage payment fraud and abuse mitigation to promote user trust and safety across Google products.
• Investigate incidents and perform statistical analysis to identify trends and generate risk management solutions.
• Assess product vulnerabilities to design and implement end-to-end fraud and abuse mitigation strategies.
• Collaborate with global Engineering and Product teams to enhance tools, develop signals, and improve system efficiency.

Skills

Data analysis

Payments experience

Education

Bachelor's degree or equivalent practical experience

Master's degree in a quantitative discipline

Tools

Python

R

C/C++

Scikit-learn

TF / TensorFlow

Job description

Google is hiring for a role in Trust and Safety focused on data analysis and payments risk management. You will work globally with engineers and product managers to identify and mitigate fraud, analyze trends, and inform risk solutions.

Strong programming and ML tool knowledge are a plus, with emphasis on scalable processes and cross-functional collaboration. Minimum qualifications include a Bachelor’s degree and 2 years in data analysis and payments risk, with project management experience.