Fanvue is the fastest-growing creator monetisation platform in the creator economy. We are the leading AI-powered creator-first platform, designed to empower creators worldwide to directly monetise their audience. We’re on a mission to redefine the creator economy by empowering creators to connect, share, and earn more efficiently.
🎯 The RoleAs our first Fraud Data Scientist, you will be the driving force behind the design and execution of our fraud prevention and detection models. This is a greenfield opportunity to build the foundations of our in-house fraud data science function, directly shaping strategy, processes, and outcomes. You’ll sit within the fraud team, working closely with data engineers and stakeholders across compliance, product, and business units.
Your work will be central to defining how we fight fraud, creating models that deliver both immediate results and long-term scalability.
🚀 What You’ll DoDefine the roadmap for fraud data science, including KPIs and success metrics.
Assess existing fraud data, identify gaps, and build a “data wishlist” for future needs.
Reduce reliance on external fraud models by developing our first in-house models.
Build, train, and maintain fraud detection models tailored to our business.
Work strategically with data engineers to clean, organise, and structure large, messy datasets.
Ensure models are adaptive, continuously retrained, and aligned to evolving threats.
Act as a partner to compliance, product, and leadership on fraud strategy.
Communicate insights clearly to both technical and non-technical stakeholders.
Contribute to fraud policy, process design, and wider risk frameworks.
Extensive in data science, ideally within fraud, AML, risk, compliance, or payments (fintech/insurtech welcome).
Strong in Python/R, SQL, and machine learning frameworks. Comfortable handling unstructured, high-volume datasets.
Analytical, intellectually curious, able to zoom in on data and zoom out to strategy.
Confident communicator with proven stakeholder management.
Thrives in a start-up/scale-up environment where autonomy and ownership are key.
You’re excited by greenfield opportunities and building from scratch.
You don’t need to be told what to do — autonomy is empowering, not confusing.
You love turning messy data into intelligent, scalable models.
You can flex between technical detail and strategic vision.
You rely on micromanagement to perform at your best.
You shy away from ambiguity or messy datasets.
You’re uncomfortable defending your strategic and technical choices.
Named one of The Sunday Times Best Places to Work 2025
Competitive salary, equity, and benefits package
Chance to shape a critical area of a category-defining platform
Work with a talented, mission-driven team dedicated to empowering creators worldwide
A culture that values innovation, ownership, transparency, and speed
Unlimited holiday
Remote working, with an office in Canary Wharf when you fancy it
Flexible hours, according to when you perform best
Budget for growth and wellbeing
