Tide
Fintech
DirectorofEngineering
Neural analysis suggests this role is
optimal for Director candidates.
“Director of Engineering at Tide. Skills: AI/ML, Machine Learning, multi-agent orchestration frameworks, cloud-native architectures, risk management, fraud detection, AML operations, people leadership. lead our Ongoing Monitoring technology teams. building the systems that power Tide’s fraud, risk, and AML operations”
What You'll Achieve.
help SMEs save time (and money); transforming the small business banking market; help SMEs save both time (and money) so they can get back to doing what they love; reduce operational cost and friction
Industry & Context.
chain complex reasoning steps; make initial risk determinations; investigate alerts
Work Outside the Office (WOO) – Work from abroad for up to 90 days annually
What They're Looking For.
Must Have
18+ years of engineering experience, 7+ years in leadership roles (Director/Senior Director level), Machine Learning: experience in supervised and unsupervised models, decision trees, neural networks, and Large Language Models (LLMs), Agent Frameworks: Hands-on experience with multi-agent orchestration frameworks (e.g., LangGraph, AutoGen) used to build self-correcting compliance workflows, Fintech Domain Knowledge: Deep understanding of fraud vectors (e.g., mule accounts, account takeovers, synthetic identity fraud) and AML typologies, Adversarial AI Security: Proven track record in detecting deepfakes, synthetic identities, and prompt injection attacks targeting financial systems, Minimum 7+ years building and deploying production-grade, risk-scoring environments at scale, Experience with fintech platforms - risk/compliance tooling (AML, Fraud, Financial Risk, SARs, KYX, agentic AI detections ), Solid technical foundations: cloud-native architectures, microservices, event-driven systems, and data platforms (AWS or GCP)
Nice to Have
Kubernetes a plus
What You'll Do.
lead our Ongoing Monitoring technology teams
building the systems that power Tide’s fraud
leads the strategic vision and development of AI/ML-driven detection systems
scaling machine learning models to analyze massive transaction volumes
overseeing model governance
ensuring compliance with financial regulations
scaling technology and people
shape the future of our Ongoing Monitoring platform
Owning the technology strategy and roadmap for Ongoing Monitoring (Fraud
multi-agent workflows that automatically investigate alerts
query external data sources
chain complex reasoning steps
and make initial risk determinations
Developing detection systems to identify and block adversarial agentic behavior
such as automated bot swarms
deepfake-powered KYC bypasses
and algorithmic fraud loops
Ensuring all AI systems are auditable
and aligned with global anti-money laundering (AML) directives and data privacy standards
Leading and growing multiple engineering squads
Partnering with Product
and Ops to deliver tools that improve our predictive ML modelling and agentic AI capabilities
Championing automation
data-driven decision making
and AI/ML opportunities to reduce operational cost and friction
How You'll Work.
Team & Collaboration
Partner with Product, Risk, and Operations leaders to shape the future of our Ongoing Monitoring platform; Partnering with Product, Data, AI, Risk, and Ops to deliver tools that improve our predictive ML modelling and agentic AI capabilities; foster team spirit and collaboration; encourage regular in-person gatherings to foster a sense of community; One Team and foster a transparent and inclusive environment, where everyone’s voice is heard
Full Job Description
ABOUT TIDE At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting. Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly Over $300 million raised in funding Over 2,500 Tideans globally - we’re diversity champions! We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg. ABOUT THE ROLE We’re looking for a Director of Engineering to lead our Ongoing Monitoring technology teams. This group is at the heart of how we serve our members – building the systems that power Tide’s fraud, risk, and AML operations. A Director of Engineering at Tide for Fraud, AML and Risk leads the strategic vision and development of AI/ML-driven detection systems. The role requires scaling machine learning models to analyze massive transaction volumes, overseeing model governance, and ensuring compliance with financial regulations. This is a role for someone who loves scaling technology and people. You’ll partner with Product, Risk, and Operations leaders to shape the future of our Ongoing Monitoring platform. As a Director of Engineering at Tide you’ll be: Owning the technology strategy and roadmap for Ongoing Mo
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