Lead Analyst Portfolio Intelligence and Fraud Analytics
Nium provides global real-time payments infrastructure for businesses, banks, fintechs, marketplaces, payroll providers, and travel companies.
Projects
About Nium Pte. Ltd.
Nium is a global payments infrastructure company that enables businesses and financial institutions to collect, hold, convert, and disburse funds across borders. Its offerings include multi-currency accounts, global payouts, foreign exchange, beneficiary account verification, physical and virtual card issuance, stablecoin-backed cards, the Nium Portal, and APIs for payment integration. Nium serves banks, money transfer operators, marketplaces, payroll providers, spend-management companies, creator-economy platforms, airlines, hotels, and online travel agencies.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will analyze portfolio and fraud performance across customers, products, markets, and payment flows. You will build dashboards, optimize SQL reporting, investigate fraud events, assess controls, monitor risk indicators, and communicate actionable insights to technical and non-technical stakeholders.
Requirements
- 4–7 years of experience in fraud analytics, portfolio analytics, payments risk, financial crime analytics, business intelligence, or data analytics
- Data analysis
- SQL
- Python
- Looker, Power BI, Tableau, or similar analytics tools
- Payment ecosystems
- Fraud typologies
- Chargebacks
- Transaction-risk indicators
- Communication and stakeholder management
- Ability to present findings to technical and non-technical audiences
Responsibilities
- Analyze customer, product, corridor, and market performance for trends, risks, and growth opportunities
- Develop and maintain portfolio-monitoring dashboards and reporting frameworks
- Monitor portfolio KPIs and KRIs for risk indicators
- Conduct ad hoc analysis for business initiatives and strategic decisions
- Monitor fraud, chargeback, dispute, and payment-abuse trends
- Investigate fraud events, attack patterns, root causes, and control gaps
- Optimize fraud rules, thresholds, and monitoring strategies
- Assess fraud-control effectiveness and recommend improvements
- Analyze customer-friction metrics to balance fraud prevention and customer experience
- Support remediation for emerging fraud risks and elevated losses
- Build dashboards and visualizations
- Develop and optimize SQL queries for reporting
- Create recurring and ad hoc reports for stakeholders
- Partner with data engineering teams to improve data quality, accessibility, and reporting
- Monitor portfolio performance against risk thresholds and payment-network requirements
- Track fraud-to-sales, chargeback, dispute, approval, and transaction-risk indicators
- Provide analytical support for fraud prevention, risk management, and portfolio optimization projects
