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Key Responsibilities and Required Skills for Verification Systems Coordinator

💰 $ - $

VerificationIdentityComplianceSystemsRisk

🎯 Role Definition

The Verification Systems Coordinator is responsible for operating and optimizing the organization's identity and document verification stack — including vendor orchestration, rule configuration, quality assurance, reporting, and cross-functional problem resolution. This role is the operational and technical bridge between Compliance/Risk, Engineering, Product, and vendor partners to ensure end-to-end verification workflows meet business, regulatory, and customer experience goals.

Key focus areas include:

  • Managing identity verification and biometrics platforms (document OCR, liveness, facial matching).
  • Operating and tuning automated rule engines and decisioning logic to balance conversion and fraud mitigation.
  • Monitoring system health, SLAs, dashboards and leading incident response for verification failures.
  • Coordinating vendor relationships, integrations, and commercial terms related to verification services.

📈 Career Progression

Typical Career Path

Entry Point From:

  • Verification Analyst / Identity Operations Specialist
  • KYC Analyst / AML Analyst
  • Fraud Operations Specialist

Advancement To:

  • Verification Systems Manager / Identity Operations Manager
  • Head of Identity Verification / Director, Identity & Fraud
  • Product Manager — Identity & Trust

Lateral Moves:

  • Fraud Operations Manager
  • Compliance & Regulatory Analyst
  • Vendor Operations / Supplier Management

Core Responsibilities

Primary Functions

  • Own daily operations of identity and document verification platforms (Onfido, Jumio, Socure, IDnow, or equivalent), including configuration management, escalation handling, and vendor performance monitoring to meet SLA and quality targets.
  • Design, deploy and maintain verification rule sets and decisioning flows to maximize true acceptance rates while minimizing fraud, including A/B test coordination and rollback plans.
  • Configure and maintain API integrations between verification vendors, internal case management systems, and user onboarding flows; troubleshoot integration errors and partner APIs (REST/JSON/OAuth).
  • Lead end-to-end vendor onboarding and offboarding for verification technology partners, including technical integration, test plans, contractual SLA definitions, and post-launch monitoring.
  • Conduct daily and weekly monitoring of verification pipelines, queue backlogs, error rates, false positives/negatives, and system latency; identify root cause and drive remediation.
  • Develop, maintain and enforce standard operating procedures (SOPs), runbooks and escalation matrices for verification operations, incident response, and exception handling.
  • Manage the human reviewer/operations team routing, capacity planning and training materials to ensure consistent manual review outcomes and operational efficiency.
  • Implement and owner of case management workflows for dispute resolution, manual review, appeals, and re-verification requests; ensure accurate tagging and audit trail for compliance.
  • Partner with Risk, Compliance and Legal to ensure KYC/AML policy alignment and implement regulatory controls, documentation retention and audit-ready logs to support regulatory examinations.
  • Generate and own executive-level reporting and dashboarding (KPI: pass rate, time-to-verify, manual review volumes, fraud trends) using SQL, BI tools or data visualization platforms.
  • Design and execute quality assurance programs: periodic sample reviews, double-blind checks, and accuracy audits to validate vendor and internal reviewer performance.
  • Coordinate and run user acceptance testing (UAT), regression and integration tests for verification system upgrades, new vendor connectors, or product changes.
  • Analyze verification data and fraud signals to surface trends, recommend new rules or configuration changes and present findings to stakeholders with clear remediation plans.
  • Lead incident triage and post-mortems for verification outages or data discrepancies; define corrective actions, timeline and communications to stakeholders and customers.
  • Work with Product and Engineering to prioritize verification platform enhancements, feature requests, and performance tuning based on operational metrics and customer impact.
  • Maintain and optimize routing logic and vendor orchestration strategies to control costs while improving coverage across geographies, document types and device types.
  • Maintain data privacy and security controls for verification data (PII), ensuring compliance with GDPR, CCPA, PCI and internal data handling policies during transfers, logs and storage.
  • Coordinate cross-functional projects to integrate biometric authentication, liveness detection and new document types; define acceptance criteria and measure impact after launch.
  • Execute periodic vendor performance reviews including SLA compliance, accuracy metrics, security posture, and roadmap alignment; lead contract escalation and remediation where required.
  • Provide training, playbooks and real-time guidance to customer support and onboarding teams regarding verification outcomes, false rejects, and manual review handling.
  • Maintain a backlog of operational and systems improvements, prioritize by business impact, and coordinate implementation with engineering and vendors.
  • Support audit requests and provide required artifacts and narratives to internal audit, compliance, and external regulators related to verification processes and decisions.
  • Monitor fraud trends and collaborate with fraud analytics to develop risk models, blocklists, and whitelists to reduce repeat fraud patterns across identity verification flows.

Secondary Functions

  • Support ad-hoc data requests and exploratory data analysis.
  • Contribute to the organization's data strategy and roadmap.
  • Collaborate with business units to translate data needs into engineering requirements.
  • Participate in sprint planning and agile ceremonies within the data engineering team.

Required Skills & Competencies

Hard Skills (Technical)

  • Hands-on experience with identity verification platforms and vendors (Onfido, Jumio, Socure, IDnow, Veriff, LexisNexis).
  • Strong knowledge of KYC, AML and identity verification regulations and best practices.
  • API integration experience (RESTful APIs, JSON, OAuth2), ability to read API docs and debug integration issues.
  • Proficiency with SQL for operational reporting and troubleshooting; comfortable writing queries against verification event logs.
  • Experience with BI and dashboarding tools (Looker, Tableau, Power BI) to build KPI dashboards and executive reports.
  • Familiarity with document verification technology: OCR, MRZ parsing, document template recognition and automated data extraction.
  • Understanding of biometric matching, liveness detection and face match accuracy metrics.
  • Practical experience with case management and ticketing systems (Zendesk, ServiceNow, Jira) for reviewer workflows and escalations.
  • Monitoring and logging experience (Datadog, Splunk, New Relic) to track system health, latency and error patterns.
  • Experience running UAT, regression testing, QA scripts and coordinating cross-functional test plans.
  • Basic scripting or data manipulation skills (Python, Bash, Excel macros) for automation and data cleanup tasks.
  • Familiarity with data privacy and security requirements (GDPR, CCPA) and secure handling of PII.
  • Vendor management and SLA negotiation experience with measurable outcomes.
  • Knowledge of fraud prevention techniques and experience collaborating with fraud teams to implement rules and models.

Soft Skills

  • Excellent communication skills: translate technical issues into clear operational or business language for stakeholders and executives.
  • Strong analytical mindset with attention to detail and the ability to surface root cause from noisy event streams.
  • Project management and prioritization skills; ability to juggle platform incidents, ongoing improvements, and stakeholder requests.
  • Customer-focused orientation with a bias for improving end-user verification success and experience.
  • Proven collaborator who can work across Product, Engineering, Compliance, Legal and external vendors.
  • Calm under pressure with demonstrated incident management and post-mortem facilitation experience.
  • Training and coaching mindset to elevate manual reviewers and operational team performance.

Education & Experience

Educational Background

Minimum Education:

  • Bachelor's degree in Information Systems, Computer Science, Business, Finance, Criminal Justice, or a related field — or equivalent professional experience.

Preferred Education:

  • Bachelor’s or Master’s degree in Computer Science, Information Security, Data Science, Finance, or related discipline.
  • Certifications in identity verification, privacy (CIPP), project management (PMP, Scrum) or AML/KYC a plus.

Relevant Fields of Study:

  • Information Systems / Computer Science
  • Data Science / Analytics
  • Business Administration / Finance
  • Cybersecurity / Information Security
  • Criminal Justice / Risk & Compliance

Experience Requirements

Typical Experience Range:

  • 3–7 years in identity verification operations, fraud prevention, KYC/AML operations, or similar roles supporting verification systems.

Preferred:

  • 5+ years managing or operating identity verification platforms, performing vendor integrations and owning operational KPIs.
  • Demonstrated track record of improving verification pass rates, reducing manual review volumes or lowering verification-related costs.