Senior Data Scientist
Nium provides global payments infrastructure for businesses, banks, fintechs, marketplaces, payroll providers, and travel companies. Its platform supports multi-currency accounts, global payouts, foreign exchange, card issuing, account verification, APIs, and stablecoin-backed cards.
Projects
About Nium
Nium is a global payments infrastructure company that helps businesses collect, hold, convert, and disburse funds across borders. Its products include multi-currency accounts, global payouts, foreign exchange, physical and virtual card issuing, bank account verification, the Nium Portal, APIs, and stablecoin-backed card programs. Nium serves banks, financial institutions, money transfer operators, marketplaces, payroll providers, enterprises, creators, 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 develop, deploy, and monitor AI and machine-learning models that detect fraud, anomalies, and other risks. You will analyze risk events and large datasets, validate and reconcile data, build compliant reporting capabilities, maintain auditability, and communicate technical findings to business stakeholders.
Requirements
- Degree in Statistics, Mathematics, Data Science, Economics, or a related quantitative field
- 3-5 years of experience in data science, advanced analytics, or machine learning
- Proficiency in model development techniques
- Experience in financial services, fintech, payments, or consulting preferred
- Exposure to transaction monitoring, sanctions screening, or case-management platforms
- Experience supporting compliance operations, investigations, or model governance
- Experience building and deploying machine-learning models in production
- Analytical rigor and problem-solving capability
- Ability to communicate technical concepts to non-technical partners
- Ability to work independently and as part of a global team
Responsibilities
- Design, deploy, and monitor predictive models and AI algorithms
- Detect anomalies, fraud, and potential breaches
- Analyze risk events and identify root causes
- Analyze large datasets to identify patterns, anomalies, and emerging risks
- Validate, cleanse, and reconcile data for regulatory reporting
- Build scalable reporting platforms aligned with regulatory requirements
- Document data protocols
- Translate technical findings into actionable business insights
- Maintain auditability, traceability, and evidence generation within systems
Benefits
- Performance bonuses
- Sales commissions
- Equity for specific roles
- Recognition programs
- Medical coverage
- 24/7 employee assistance program
- Generous vacation programs
- Year-end shutdown
- Flexible hybrid working environment with 3 days per week in the office
- Role-specific training
- Internal workshops
- Learning stipend
- Company-wide social events
- Team bonding activities
- Happy hours
- Team offsites
