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Tide is a fintech platform serving over 2 million SMEs globally with business banking and administrative solutions. The company operates across the UK, India, Germany, and France with over $300 million in funding and 2,800+ employees.
The Ongoing Monitoring team sits in the first line of defense (1LoD) operations, responsible for detecting and preventing financial crime including money laundering, sanctions violations, terrorism financing, tax evasion, fraud, and corruption.
As Senior Analyst, AML Analytics, you will be the technical and statistical architect of Tide's AML monitoring controls. This is a key role driving the evolution from simple transaction-level triggers to sophisticated, behavior-based models that provide holistic visibility into member activity.
Key responsibilities:
- Design and develop advanced monitoring models using statistical methods and optimization techniques
- Optimize the detection framework to balance suspicious activity detection with operational efficiency
- Translate emerging AML typologies and risk policies into effective, data-driven monitoring logic
- Develop and deploy member segmentation strategies aligned with risk profiles
- Create audit-ready technical documentation ensuring transparency and explainability
- Contribute to the AML Analytics roadmap, identifying innovation opportunities
Required qualifications:
- Minimum 4 years in data analytics, preferably in financial crime or risk management
- Advanced proficiency in SQL and Python (Pandas, PySpark)
- Hands-on experience building, validating, and optimizing complex models from large datasets
- Demonstrated ability applying optimization algorithms and statistical methods to real-world problems
- Proven skill translating abstract concepts into concrete, data-driven logic
- Strong understanding of financial crime regulatory frameworks and transaction monitoring systems
- Exceptional communication and stakeholder management skills
You will work across multiple geographies with analysts, team leaders, product/engineering managers, data scientists, and operations managers. The role offers exposure to senior stakeholders and sits at the core of Tide's financial crime prevention mission.
