About this role
Nium is the global infrastructure company powering real-time cross-border payments. Founded to deliver the payments infrastructure of tomorrow, today, we are building a programmable, borderless, and compliant money-movement layer that powers transactions between people, businesses, and intelligent systems — enabling banks, fintechs, payroll providers, travel platforms, marketplaces, and other global enterprises to move money instantly, anywhere in the world. Co-headquartered in San Francisco and Singapore, with offices in 14 markets and team members across 20+ countries, we take pride in a culture anchored in Keeping It Simple, Making It Better, and Winning Together. 2025 was the strongest year in our 10-year history, with record revenue, record transaction volumes, and EBITDA profitability — and we are now entering one of the most dynamic chapters in our journey. We believe the best work happens face-to-face, and we operate a hybrid model with three in-office days per week to strengthen collaboration, alignment, and innovation. We move over $50B annually across a network that spans 190+ countries, 100 currencies, and 100 real-time corridors. We power fast payouts to accounts, wallets, and cards; enable local collections in 35 markets; and support card issuance in 34 countries — all backed by licenses across 40+ markets. With over $300M raised to date, Nium offers ambitious builders the opportunity to shape the future of global money movement — at scale.
Role Summary:
Responsible for leading the development of AI/ML models to identify risks (such as fraud or credit risk) while ensuring these models are auditable, explainable, and compliant with data privacy laws
Enhance the coverage and accuracy of the existing rules for anti-money laundering and financial crimes
Establish and run rules management process to ensure rules are performing to expected thresholds
Manage, mentor, and develop a team of data scientist/analysts supporting compliance domains such as AML, sanctions, fraud, KYC, conduct, and regulatory reporting.
Ensures the integrity, accuracy, and usability of data across compliance and financial crime functions.
Develops data dashboards to provide visibility of performance of rules and models
Bridge advanced analytics with regulatory requirements and risk management
Assess data quality and labelling, perform advanced analysis to identify high predictive strength variables, and work with technology teams on availability of variables.
Ensures that data-driven insights strengthen regulatory adherence, operational efficiency, and fraud prevention strategies.