Head of Machine Learning Ongoing Monitoring
Tide is a UK business-banking fintech for small and medium enterprises (tide.co), a Speedinvest portfolio company.
About Tide
Tide is a UK financial-technology company providing business banking and financial services to small and medium enterprises (tide.co). It is a portfolio company of Speedinvest.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will define and execute a risk engineering strategy that supports compliant growth. You will lead managers and engineers, build scalable risk infrastructure for real-time decisions and fraud prevention, and create self-service risk tools for product, compliance, and operations teams. You will work with legal and compliance experts to uphold regulatory standards and lead data and machine-learning initiatives that improve fraud detection, compliance, and resilience.
Requirements
- 12+ years of engineering experience, including at least 2 years in a senior leadership role
- Experience in fintech or regulated technology environments
- Deep experience in fraud prevention and compliance, including KYC/KYB and AML
- Experience with supervised and unsupervised models, decision trees, neural networks, and Large Language Models
- Hands-on experience with multi-agent orchestration frameworks such as LangGraph and AutoGen
- Understanding of fraud vectors and AML typologies
- Experience detecting deepfakes, synthetic identities, and prompt injection attacks targeting financial systems
- 3+ years building and deploying production-grade risk-scoring environments at scale
- Experience with risk and compliance tooling, including AML, fraud, financial risk, SARs, KYX, and agentic AI detections
- People leadership skills
- Knowledge of cloud-native architectures, microservices, event-driven systems, data platforms, AWS, or GCP
Responsibilities
- Define and execute a risk engineering strategy aligned with long-term growth and compliance goals
- Lead managers and engineers and foster excellence, innovation, user-centric design, and collaboration
- Architect and scale risk systems for real-time decision-making, data management, and fraud prevention
- Develop self-service risk tools for product, compliance, and risk operations teams
- Collaborate with legal and compliance experts to support regulatory standards
- Lead data- and machine-learning initiatives for fraud detection and compliance
Benefits
- Generous annual leave in addition to bank holidays
- Paid maternity, paternity, and adoption leave
- Unpaid and paid sabbatical leave after milestone years
- Private family health insurance with OPD coverage and top-up options
- Accidental and life insurance
- Access to therapy sessions, courses, meditations, and workshops
- Paid volunteering and personal-growth days
- Annual learning and development budget
- Work from abroad for up to 90 days annually
- Home office setup contribution
- Laptop replacement and ownership of the old laptop
- Office snacks, coffee, tea, and lunch, depending on location
