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Medium — senior, niche role at a known fintech in a metro, moderate applicant density.
High — role requires deep fintech risk, AML/fraud and adversarial AI domain expertise, limiting cross-industry transferability.
High due to explicit 12+ years, leadership, fintech risk, ML, and production risk-scoring requirements.
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Define and execute a risk engineering strategy aligned with Tide's vision to ensure risk supports rapid and compliant growth.
Lead and grow a team of managers and engineers delivering risk infrastructure and self-service risk tools for real-time decision-making and fraud prevention.
Collaborate with compliance and legal to maintain regulatory standards and leverage machine learning for fraud detection and automated risk management solutions.
12+ years engineering experience with at least 2 years in senior leadership (head, director, or senior manager), preferably in fintech or regulated tech domains.
Deep expertise in fraud prevention and compliance (KYC/KYB, AML) within financial services.
Strong machine learning experience including supervised/unsupervised models, neural networks, LLMs, and multi-agent orchestration frameworks.
Experience building and deploying production-grade risk scoring systems at scale; familiarity with cloud-native architectures and microservices (AWS or GCP).
Experienced leader capable of managing and inspiring engineering teams focused on risk and compliance in fintech.
Domain expert in financial services fraud vectors (e.g., mule accounts, synthetic identity fraud) and adversarial AI security.
Strategic thinker who can architect scalable risk infrastructure and self-service tools enabling cross-functional team independence and regulatory compliance.