Product Analyst - DocV

2+ years of experience in product analytics, data analysis, or a similar role Excellent communication skills with ability to present complex findings Proficient in SQL and comfortable working with large datasets in cloud environments (e.g., Databricks, Snowflake, Mixpanel) Experience with data visualization and dashboarding tools (e.g., Looker, Tableau) Familiarity with Python for data analysis (e.g., Pandas, Jupyter Notebooks) is a plus Strong problem-solving skills and attention to detail Solid statistical foundation Prior experience in identity verification, fraud detection, or risk analytics is a strong plus

Own all data analysis related to Document Verification (DocV) Perform ad-hoc and recurring analyses to support product decisions Build dashboards, alerting systems, and trackers to monitor product health Maintain and expand a centralized fraud and transaction database Collaborate with the Fraud Investigations (FI) team and manage labeling pipelines Support customer success 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