Senior Forensic Document Analyst
Socure
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $95,000 - $120,000 per year
Job Level
About the role
- 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.
Requirements
- 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.
- Hands-on experience with data labeling, model validation, or quality review in support of machine learning systems (preferred).
- Exposure to manual verification workflows, risk operations, or video-based identity verification processes (preferred).
- Experience working closely with product and data science teams to translate investigative insights into scalable systems and models (preferred).
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 & Tools
document labelingmanual verificationtransaction escalationfraud assessmentlabeling standardsmodel trainingdata labelingmodel validationquality reviewdocument fraud analysis
Soft Skills
attention to detailvisual pattern recognitionwritten communicationindependent operationcollaborationdecision makinganalytical rigormentorship