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Google Financial Analyst Customer Engagement United States, California, Mountain View
Bachelor's degree or equivalent practical experience. 4 years of experience in data analysis, statistical modeling, or a similar role. Experience in financial planning and analysis (FP&A), financial modeling, planning, forecasting,...
Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience. 4 years of experience in financial planning and analysis (FP&A), consulting, or a related function,...
Bachelor's degree or equivalent practical experience. 7 years of experience conducting cyber security research and developing leads related to espionage activities. 3 years of experience as a technical security professional...
Key job responsibilitiesThroughout your apprenticeship, you’ll develop in demand technical and professional skills, including how to: Analyse and interpret data to generate actionable insights Design data models and manage databases...
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...
Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management. 5 years of experience in Life Cycle Assessment (LCA), carbon footprints, or quantification...
Bachelor's degree or equivalent practical experience. 7 years of experience in Trust and Safety, product policy, privacy and security, legal, compliance, risk management, intel, content moderation, red teaming, AI testing,...
Bachelor's degree or equivalent practical experience. 4 years of experience in data analysis, statistical modeling, or a similar role. Experience in financial planning and analysis (FP&A), financial modeling, planning, forecasting,...
The job of a Fraud Analyst is one of the most important roles within the tech industry. From protecting customers from scams to developing tools to detect fraud, a fraud analyst is essential in maintaining a secure and safe environment within the tech industry.
Expoint's Fraud Analyst role provides an exciting opportunity to use the latest data analytics, deep learning and machine algorithms to uncover patterns of financial fraud and protect customer data. They are responsible for parsing customer transactional and financial data to evaluate any suspicious or risky activity. They are also responsible for developing and deploying risk-scoring models, monitoring suspicious activity, and managing fraud risks across networks.
In addition to data analysis, Fraud Analysts create custom reports and dashboards to provide insight into fraud trends and behavior across customer networks. Their research into analytics helps tech organizations adjust their compliance strategies for preventing fraud. By leveraging their powers of deduction and careful review of data, Fraud Analysts give tech companies the tools to identify fraud before it occurs.
Ideal candidates for the Expoint Fraud Analyst position will be analytical, detail-oriented and have a deep understanding of the tech industry. They should have excellent problem-solving skills, be able to work independently and be proficient in data analysis tools. They should also be familiar with SQL and data management techniques to quickly identify and react to emerging threats.
With the complexity and importance of the tech industry, it's more essential than ever to protect customer data and prevent fraud. The data-driven and vigilant work of Expoint's Fraud Analysts makes this possible.