Lead of Transaction Monitoring (Enterprise)

Location: London, United Kingdom; hybrid

Company

hirify.global is a global fintech focused on moving money for consumers and businesses across international markets.

What you will do

• Own the enterprise transaction-monitoring strategy, OKRs, roadmap and initiative portfolio.
• Lead the TM Enterprise Program, including scope, milestones, budget, dependencies, risks and governance.
• Design, test, calibrate and manage transaction-monitoring scenarios, rules, thresholds and their lifecycle.
• Improve detection effectiveness, alert quality, false-positive rates, investigation SLAs and SAR/STR conversion.
• Replace manual analysis and reporting with scalable data pipelines, self-service dashboards and advanced analytics.
• Build and develop a transaction-monitoring team across analysts, rule owners and data or automation specialists.

Requirements

• Substantial experience in transaction monitoring and AML or financial crime, preferably in fintech, payments, money transfer or high-volume B2C environments.
• Experience leading a transaction-monitoring function or major transformation and delivering multi-stream programs or initiatives.
• Deep knowledge of scenario and rule design, tuning, threshold calibration, model governance, backtesting and effectiveness testing.
• Strong understanding of AML/CTF requirements, including FCA, EU AMLD/AMLR and FATF expectations, with experience supporting audits and regulator reviews across jurisdictions.
• Knowledge of fraud and financial-crime typologies in cross-border payments, Visa and Mastercard monitoring programs, and payment methods including cards, tokenization, Apple Pay, Google Pay, A2A and wallets.
• Data fluency, including SQL or BI analysis, KPI definition, modern data platforms, automation, team leadership and communication with technical and executive stakeholders.

Nice to have

• Experience with rules engines, decisioning platforms or transaction-monitoring vendor solutions.
• Experience applying statistical, unsupervised or machine-learning anomaly detection to AML and fraud use cases.
• Hands-on SQL or Python experience and experience building Looker, Tableau, Power BI or similar dashboards.
• Knowledge of financial-crime operations, case management and SAR/STR filing.
• ACAMS, ICA or an equivalent certification.

Culture & Benefits

• Work on products that support global money movement for millions of customers.
• Ownership-oriented environment with autonomy to make decisions and drive measurable outcomes.
• Opportunities for learning, skill development and career growth across functions and geographies.
• Collaboration with colleagues across diverse disciplines and backgrounds.
• Fast-moving culture focused on experimentation, continuous improvement and delivery.

Hiring process

• The role includes a structured first-year impact plan, with assessment and delivery milestones at three, six and twelve months.