Product Analyst - Document Verification

Why reputed company? reputed company is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are reputed company, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your reputed company. If you want to help build the future of identity with a team 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 strategy 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 performance 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 track, measure, and respond to the reputed company-evolving identity landscape.

What You'll Do

• 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 decisions, 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 performance 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 performance and bias testing.

What You Bring

• 2+ years of experience in product analytics, data analysis, or a similar role in a data-focused environment.
• Excellent communication skills with the ability to present reputed company findings to technical and non-technical audiences, and experience communicating insights to external customers or client-facing teams is a reputed company strong plus.
• Proficient in SQL and comfortable working with large datasets in cloud environments like reputed company, reputed company, reputed company, or similar.
• Experience with data visualization and dashboarding tools (e.g., Looker, Tableau) and a track record of building executive-ready dashboards.
• Familiarity with Python for data analysis (e.g., Pandas, Jupyter Notebooks) is a plus.
• Strong problem-solving skills and attention to detail; ability to dig deep into transactional data to uncover insights, with a solid statistical foundation to support rigorous analysis.
• Prior experience in identity verification, fraud detection, or risk analytics is a strong plus.

Why This Role Matters Our DocV product plays a key role in helping customers prevent fraud while maintaining a seamless user experience. With fraud tactics constantly evolving, we need a dedicated analyst who can anticipate issues, inform reputed company product decisions, 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 our company. We do not discriminate based on race, religion, color, 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 onboarding support—please reputed company out to your reputed company recruiting partner directly. Follow Us! YouTube | reputed company | X (Twitter) | Facebook Apply tot his job Apply To this Job