Engineering Analyst, Payments Trust and Safety
Technology, Data & Digital · Data, AI & Analytics · Data Analysis · Software Engineering · Project Management
In short
Google is seeking an Engineering Analyst for their Payments Trust and Safety team in Hyderabad. This role involves mitigating payment fraud and abuse, investigating incidents, and collaborating with cross-functional teams. The ideal candidate will have a Bachelor's degree, 2 years of experience in data analysis and project management, with preferred experience in the Payments industry and ML/Python.
Responsibilities
- Promote user trust and safety by managing and mitigating payment fraud and abuse for Google products and services.
- Investigate fraud and abuse incidents, identify patterns and trends to generate holistic risk management solutions.
- Perform end-to-end assessment of product and feature riskiness and vulnerability, design, and implement fraud and abuse mitigation strategies.
- Perform statistical analysis using payments and risk data warehouse.
- Collaborate with engineering and product teams to create and enhance tools, develop signals, and improve system functionality, accuracy, and efficiency.
- Engage and collaborate with cross-functional teams globally, working closely with engineers, product managers, and stakeholders to launch risk mitigation solutions.
- Participate in an on-call rotation schedule to manage high-priority escalations outside of standard work hours.
Requirements
- 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 managing projects and defining project scope, goals, and deliverables.
Desired Qualifications
- 4 years of experience in the Payments industry, working on risk or fraud management.
- Experience in querying and analyzing large sets of data.
- Strong project and program management skills and experience.
- Working knowledge in 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++), Large Language Models (LLMs) or Generative AI.
- Demonstrated ability to identify workflow pain points, optimize, automate and scale processes.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
Benefits
- Opportunity to work on global products and impact user safety.
- Collaborative and dynamic work environment.
- Possibility of equity grants (discretionary).
- Equal opportunity and affirmative action employer committed to diversity and inclusion.
#Payments#Trust and Safety#Fraud Detection#Risk Management#Data Analysis#Project Management#Machine Learning#Python#Google
Company
Job Posted
1 day ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Hyderabad, India
Qualification
Bachelor
Applicants
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