Senior Forensic Document Analyst

Why Socure?

Socure 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 complex, 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 place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

About the Role

As a Senior Forensic Document Analyst, you will lead the strategy and execution for document labeling, manual verification, and transaction escalation within the DocV business line. This role is both hands-on and strategic, serving as the primary owner of how documents and transactions are reviewed, labeled, escalated, and validated across customer-facing decisioning and model development workflows.

You will act as the central subject matter expert for document fraud analysis, owning the definition of labeling standards, review processes, escalation frameworks, and quality benchmarks. Your work will directly influence real-time customer decisions, model performance, and the expansion of DocV offerings, including manual review and video-based interviews.

This role requires deep expertise in document forensics, strong judgment under ambiguity, and the ability to design scalable processes while remaining directly involved in investigations and analysis.

What You'll Do

• Lead and define the end-to-end strategy for document labeling, manual verification, and transaction escalation across DocV.

• Examine identity documents such as passports, national ID cards, and driver’s licenses to assess authenticity, quality, and signs of manipulation or fraud, including complex and edge-case submissions.

• Serve as the primary escalation owner for high-risk or ambiguous transactions, supporting real-time customer decisioning and providing authoritative fraud assessments and rationale.

• Define, document, and maintain labeling standards, review criteria, escalation guidelines, and quality controls used for model training, validation, and customer-facing decisions.

• Own the creation and validation of labeled datasets for machine learning initiatives, ensuring consistency, accuracy, and alignment with evolving fraud patterns.

• Partner closely with data science, product, engineering, and fraud teams to inform model development, validate model outputs against real-world fraud cases, and refine tooling and workflows.

• Identify, analyze, and document emerging document fraud techniques and trends, translating findings into actionable guidance for models, processes, and customer use cases.

• Support the design and rollout of new DocV capabilities, including manual review workflows and video interview based verification, helping define operational processes and fraud evaluation frameworks.

• Act as a mentor and functional lead for forensic and review practices, setting the standard for analytical rigor, documentation, and decision quality.

What You Bring

Required:

• 3-5 years experience working with identity documents, document fraud analysis, investigations, or advanced quality and risk operations.

• Demonstrated ability to lead and define operational or analytical processes, including labeling standards, escalation frameworks, and quality benchmarks.

• Exceptional attention to detail and advanced visual pattern-recognition skills, especially in high-risk or ambiguous fraud scenarios.

• Deep understanding of document security features, fraud typologies, and common manipulation techniques across global identity documents.

• Strong written communication skills, with the ability to clearly document findings, rationale, and decision logic for both technical and non-technical stakeholders.

• Ability to operate independently as a single-threaded owner while collaborating effectively across cross-functional teams.

• Comfort making real-time, high-impact decisions that directly affect customer outcomes and product performance.

Preferred:

• Hands-on experience with data labeling, model validation, or quality review in support of machine learning systems.

• Exposure to manual verification workflows, risk operations, or video-based identity verification processes.

• Experience working closely with product and data science teams to translate investigative insights into scalable systems and models.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, 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 reach out to your Socure recruiting partner directly.

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