About The Role
We're looking for a Lead/Head of Transaction Monitoring (Enterprise) to own how Paysend detects suspicious activity across all products, corridors and payment methods, and to lead the TM Enterprise Program that modernises it.
About The Role
We're looking for a Lead/Head of Transaction Monitoring (Enterprise) to own how Paysend detects suspicious activity across all products, corridors and payment methods, and to lead the TM Enterprise Program that modernises it.
Objective and Key Results
Objective (Q4 2026):
AI-Powered Enterprise Financial Crime: build scalable, risk-based transaction monitoring
Enterprise clients can submit legitimate transactions with minimal friction, suspicious transactions are correctly identified and declined, unnecessary RFIs are minimised, and transaction-monitoring performance is measurable and continuously optimised.
Metrics clearly separate client-generated risk, Financial Crime controls and downstream payout execution, so TM declines are not confused with prefunding, network or technical failures, and stages reconcile without double-counting.
Key Results you will be accountable for
- % Confirmed Fraud Rate of Enterprise-Initiated Transactions: Confirmed fraud transactions divided by total enterprise-initiated transactions, broken down by client, typology, transaction type and destination, and confirmed vs. suspected fraud. Gives clients an evidence-based view of the quality of the volume they submit.
- % Legitimate Transaction Straight-Through Processing Rate: Legitimate transactions processed without an RFI divided by total legitimate transactions submitted. The central measure of balance between risk protection and customer friction.
- % Enterprise TM Decision Quality: Combines confirmed-fraud prevention rate (stopped before payout), false-positive rate, and control coverage of material enterprise TM risks by documented, approved and tested controls.
- % Enterprise TM Investigation Efficiency: Median RFI time to resolution, % resolved within SLA, % with a clear documented decision, % outstanding beyond SLA, and RFI backlog and ageing.
What You Will Own
- KRs and Initiatives: Own and deliver the Enterprise TM KRs and Initiatives, from definition and prioritisation through delivery, measurement and reporting to senior leadership.
- TM Enterprise Program: Lead the TM Enterprise Program end to end: scope, roadmap, milestones, budget, dependencies, risks and governance.
- TM framework: Own the enterprise-wide TM framework: scenario and rule coverage, thresholds, risk-based calibration, model governance and the rule lifecycle (design, test, tune, retire).
- Effectiveness and KPIs: Own the KPI and MI framework for detection effectiveness, alert quality, false positives, SAR/STR conversion, alert volumes, SLAs and team productivity.
- Regulatory assurance: Ensure TM meets AML/CTF and regulatory expectations across all licensed jurisdictions, and own TM readiness for audits, regulator reviews and partner due diligence.
- Team leadership: Build, lead and develop a high-performing TM team spanning analysts, rule owners and data/automation specialists.
What You'll Do
- Define strategy and OKRs: Set the enterprise TM strategy and multi-year roadmap, aligned to company OKRs and Paysend's financial crime risk appetite; translate it into measurable KRs and a prioritised initiative portfolio.
- Drive delivery: Lead initiative delivery as accountable owner: run planning, steering committees and status reporting; remove blockers, manage trade‑offs and escal
- Strengthen detection: Oversee translation of typologies, risk assessments and regulatory change into detection scenarios and rules; ensure backtesting, simulation and impact measurement happen before release.
- Optimise performance: Drive tuning using alert, case and SAR feedback to improve catch rate and reduce noise, with clear trade‑off thinking across risk, cost and customer friction.
- Automate and scale: Replace manual analysis and reporting with scalable pipelines and self-serve dashboards; apply advanced analytics and ML‑based anomaly detection where they add value.
- Collaborate: Partner across the business:
- Product and Engineering: requirements, data needs, TM platform and rules‑engine enhancements.
- Compliance and MLRO: policy alignment, risk assessments, regulatory reporting, audits and regulator engagement.
- Network and Partners: Visa and Mastercard program requirements, thresholds and monitoring; bank and partner due diligence.
- Operations and Investigations: alert‑handling workflow, feedback loops, capacity and quality.
- Data and Analytics: data quality, lineage, model validation and reporting.
- Govern and report: Run the TM governance cadence: rule‑change approvals, performance reviews, documented decisions and rationale, and regular reporting to senior management and committees.
- Stay ahead of regulation: Stay current on AML/CTF regulation, FATF guidance, PSD2/SCA and card scheme rules, and embed changes into controls and the roadmap.
- Manage vendors and budget: Manage vendor, tooling and budget for TM platforms, data sources and analytics.
- Stay ahead of regulation: Stay current on AML/CTF regulation, FATF guidance, PSD2/SCA and card scheme rules, and
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