Product Analyst, DocV
Socure
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $150,000 - $180,000 per year
Job Level
JuniorMid-Level
Tech Stack
CloudPandasPythonSQLTableau
About the role
- Own all data analysis related to Document Verification (DocV), and be the subject matter expert for this domain.
- Perform ad-hoc 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 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.
Requirements
- 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 complex findings to technical and non-technical audiences, and experience communicating insights to external customers or client-facing teams is a very strong plus.
- Proficient in SQL and comfortable working with large datasets in cloud environments like Databricks, Snowflake, Mixpanel, 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.
Benefits
- Offers Equity
- Offers Bonus
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisproduct analyticsSQLdata visualizationdashboardingPythonstatistical analysisfraud detectionrisk analyticsmodel governance
Soft skills
communication skillsproblem-solvingattention to detail