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      CRYPTO & DIGITAL ASSETS

Exchange/Wallet Journeys · On/Off-Ramp · Transaction Monitoring · Custody/Controls

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PRODUCTS DELIVERED
 

  1. Customer and operator journeys across the asset lifecycle:
    Defined and delivered end-to-end experiences spanning account creation, KYC/KYB step-up, funding via on-ramp and off-ramp, wallet management, deposits and withdrawals, and servicing. Paired customer-facing journeys with role-based internal tooling for compliance operations, fraud and risk review, and customer support escalation.
     

  2. Wallet and transfer workflows with risk-aware UX:
    Productized withdrawal flows, address management and allow listing patterns, transfer state visibility, and explicit hold and release experiences so risk controls are transparent to users rather than silent failures, and operational actions are traceable and reviewable.
     

  3. Transaction monitoring and investigation workbench:
    Built investigation surfaces for alert triage, case linking, entity resolution, and narrative capture, transforming compliance review into a measurable workflow with queue health, SLA tracking, and disposition quality metrics.
     

  4. Proof and traceability surfaces for stakeholders:
    Delivered dashboards and reporting views translating platform state into business and risk signals, including deposit and withdrawal success rates, review backlogs, false-positive rates, time-to-resolution, and exception funnels.

 

ENGINEERING AND GOVERNANCE 
 

  • Controls-first product patterns:
    Embedded least-privilege RBAC, immutable audit logs for high-risk actions (holds, approvals, withdrawals), controlled change gates, and replay-safe workflow state machines so operational interventions remain defensible, auditable, and regulator-ready.
     

  • Policy enforcement expressed as product behavior:
    Translated compliance requirements into user-facing guardrails and operational decision flows, including step-up verification triggers, velocity and limit logic, risk-based holds, and escalation tiers, supported by consistent reason codes and evidence capture.
     

  • Data integrity and provenance in investigations:
    Standardized event schemas, case identifiers, and evidence attachments so alerts and actions can be reconstructed end-to-end without reliance on tribal knowledge.
     

  • Platform standards enforced via interface contracts:
    Codified API specifications, event taxonomies, and SLOs (availability, latency, error rates) as product acceptance criteria. “It works” means deterministic states and predictable degradation modes.

 

PRODUCT MANAGEMENT & ENABLEMENT 
 

  • 0→1 incubation:
    Led discovery with compliance, risk, support, and engineering teams, converting ambiguous control requirements into shippable increments through workflow maps, PRDs, measurable success criteria, and phased rollout plans.
     

  • 1→n scaling and operational readiness:
    Built enablement kits for operations teams, including playbooks, decision trees, and reason-code guides, alongside training, communications, and support models so controls scale without increasing manual workload.
     

  • Operating model and governance:
    Established intake and prioritization, decision forums, KPI trees, and incident review rhythms, tying roadmap sequencing directly to queue health, resolution SLAs, false-positive rates, and customer friction.
     

  • Long-term roadmap and portfolio strategy:
    Defined and owned a multi-year product and platform roadmap for digital asset infrastructure, sequencing customer onboarding, transaction monitoring, custody controls, and operational automation toward increasing levels of trust, scalability, and regulatory defensibility. Balanced near-term compliance and risk mitigation with long-term platform evolution across interoperability, automation, and cost efficiency. To ensure the business can expand asset coverage, volume, and geographies without compromising safety or user experience.

OUTCOMES
 

  • Risk and operations: Investigation throughput ↑ · Time-to-resolution ↓ · Backlog and aging ↓ · Exception rework ↓ · Audit readiness ↑

  • Experience and reliability: Transfer success rate ↑ · Support escalation rate ↓ · Predictable hold and release experiences ↑ · Platform stability and SLO attainment ↑

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