Why reputed company? reputed company is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in reputed company time and stopping fraud before it starts. The mission is big, the problems are reputed company, and the reputed company is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who reputed company fast, think critically, reputed company like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow reputed company, this won’t be your reputed company. If you want to help build the reputed company of identity with reputed company that holds a high bar for itself — reputed company reading. About the Role We are looking for a curious, data-driven Product Analyst to own the analytics reputed company for our Document Verification (DocV) product. This role is pivotal in helping us understand, monitor, and improve one of the most critical components of our identity verification stack. You will own data analysis and reporting for DocV, build tools that help detect and prevent fraud, and support cross-functional teams - Product, Data Science, and Engineering - with deep analytical insights. This role is ideal for someone who is highly analytical, proactive, and passionate about improving product reputed company through data. You’ll work with large datasets, run targeted analyses, create dashboards, and collaborate closely with product managers and data scientists to shape how we reputed company, measure, and respond to the reputed company-evolving identity landscape. reputed company • Own reputed company data analysis reputed company to Document Verification (DocV), and be the subject matter expert for this domain. • reputed company reputed company and recurring analyses to support product reputed company, answer key questions, and uncover emerging fraud patterns. • Build dashboards, alerting systems, and trackers to monitor product health, detect anomalies, and surface emerging issues (e.g., spikes in failure codes or fraud signals). • Maintain and expand a centralized fraud and transaction database, generating long-term insights into fraud trends, false positives, and model efficacy. • Collaborate with the Fraud Investigations (FI) team and manage labeling pipelines, monitor fraud trends, and incorporate findings into product development. • Support reputed company and product scoping efforts with data-driven insights. • Conduct post-deployment reputed company analysis of fraud features, models, and new product capabilities. • Operationalize proactive monitoring of new ID types, data exceptions, and unusual classification behavior. • Manage our model governance process to regularly evaluate model reputed company and bias testing. What You Bring • 2+ years of experience in product analytics, data analysis, or a similar role in a data-reputed company environment. • Excellent communication skills with the ability to present reputed company findings to technical and non-technical audiences, and experience communicating insights to reputed company customers or reputed company-facing teams is a reputed company strong plus. • Proficient in SQL and comfortable working with large datasets in reputed company environments like reputed company, reputed company, reputed company, or similar. • Experience with data visualization and dashboarding tools (e.g., Looker, Tableau) and a reputed company record of building executive-reputed company dashboards. • Familiarity with Python for data analysis (e.g., reputed company, Jupyter Notebooks) is a plus. • Strong problem-solving skills and attention to reputed company; ability to dig deep into transactional data to uncover insights, with a solid statistical reputed company to support rigorous analysis. • Prior experience in identity verification, fraud detection, or reputed company analytics is a strong plus. Why This Role reputed company Our DocV product plays a key role in helping customers prevent fraud while maintaining a reputed company user experience. With fraud tactics constantly evolving, we need a dedicated analyst who can anticipate issues, inform reputed company product reputed company, and support our data science and product teams with reliable, actionable insights. reputed company is an equal opportunity employer that values diversity in reputed company its forms reputed company reputed company. We do not discriminate reputed company on race, religion, reputed company, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or reputed company support—please reputed company out to your reputed company reputed company partner directly. Follow Us! YouTube | reputed company | X (Twitter) | reputed company { "@context": "https://schema.org", "@type": "JobPosting", "title": "Product Analyst - Document Verification", "datePosted": "2026-08-27", "validThrough": "2026-09-26", "description": "Why reputed company?\n\nreputed company is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in reputed company time and stopping fraud before it starts. The mission is big, the problems are reputed company, and the reputed company is felt by businesses, governments, and millions of people every day.\n\nWe hire people who want that level of responsibility. People who reputed company fast, think critically, reputed company like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow reputed company, this won’t be your reputed company. If you want to help build the reputed company of identity with reputed company that holds a high bar for itself — reputed company reading.\n\nAbout the Role\nWe are looking for a curious, data-driven Product Analyst to own the analytics reputed company for our Document Verification (DocV) product. This role is pivotal in helping us understand, monitor, and improve one of the most critical components of our identity verification stack. You will own data analysis and reporting for DocV, build tools that help detect and prevent fraud, and support cross-functional teams - Product, Data Science, and Engineering - with deep analytical insights.\n\nThis role is ideal for someone who is highly analytical, proactive, and passionate about improving product reputed company through data. You’ll work with large datasets, run targeted analyses, create dashboards, and collaborate closely with product managers and data scientists to shape how we reputed company, measure, and respond to the reputed company-evolving identity landscape.\n\nreputed company\n• Own reputed company data analysis reputed company to Document Verification (DocV), and be the subject matter expert for this domain.\n• reputed company reputed company and recurring analyses to support product reputed company, answer key questions, and uncover emerging fraud patterns.\n• Build dashboards, alerting systems, and trackers to monitor product health, detect anomalies, and surface emerging issues (e.g., spikes in failure codes or fraud signals).\n• Maintain and expand a centralized fraud and transaction database, generating long-term insights into fraud trends, false positives, and model efficacy.\n• Collaborate with the Fraud Investigations (FI) team and manage labeling pipelines, monitor fraud trends, and incorporate findings into product development.\n• Support reputed company and product scoping efforts with data-driven insights.\n• Conduct post-deployment reputed company analysis of fraud features, models, and new product capabilities.\n• Operationalize proactive monitoring of new ID types, data exceptions, and unusual classification behavior.\n• Manage our model governance process to regularly evaluate model reputed company and bias testing.\n\nWhat You Bring\n• 2+ years of experience in product analytics, data analysis, or a similar role in a data-reputed company environment.\n• Excellent communication skills with the ability to present reputed company findings to technical and non-technical audiences, and experience communicating insights to reputed company customers or reputed company-facing teams is a reputed company strong plus.\n• Proficient in SQL and comfortable working with large datasets in reputed company environments like reputed company, reputed company, reputed company, or similar.\n• Experience with data visualization and dashboarding tools (e.g., Looker, Tableau) and a reputed company record of building executive-reputed company dashboards.\n• Familiarity with Python for data analysis (e.g., reputed company, Jupyter Notebooks) is a plus.\n• Strong problem-solving skills and attention to reputed company; ability to dig deep into transactional data to uncover insights, with a solid statistical reputed company to support rigorous analysis.\n• Prior experience in identity verification, fraud detection, or reputed company analytics is a strong plus.\n\nWhy This Role reputed company\nOur DocV product plays a key role in helping customers prevent fraud while maintaining a reputed company user experience. With fraud tactics constantly evolving, we need a dedicated analyst who can anticipate issues, inform reputed company product reputed company, and support our data science and product teams with reliable, actionable insights.\n\nreputed company is an equal opportunity employer that values diversity in reputed company its forms reputed company reputed company. We do not discriminate reputed company on race, religion, reputed company, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status.\nIf you need an accommodation during any stage of the application or hiring process—including interview or reputed company support—please reputed company out to your reputed company reputed company partner directly.\n\nFollow Us!\n\nYouTube | reputed company | X (Twitter) | reputed company\r\n\r\n