Head of Fraud Strategy & Analytics

About Satispay

Satispay stands as a recognised leader in the European FinTech landscape, a company where a relentless drive for achievement is powered by a clear, impactful mission. We were born from a powerful vision to revolutionise everyday payments, making them simple, fair, and accessible to everyone. Our strategic imperative is to continue shaping the future of money by simplifying complex financial interactions to profoundly improve people's lives.

As a high-growth scale-up, Satispay represents a dynamic environment at the forefront. Joining our team means stepping into a critical role with the authority and responsibility to drive significant business outcomes and shape the strategic trajectory of the company and the industry.

We are powered by a culture of ownership, relentless execution, and strategic foresight. We are brave in our approach, making courageous decisions and tackling challenges head-on, underpinned by a deep sense of responsibility for sustainable, ethical, and long-term success.

What you’ll be doing

As the Head of Fraud Strategy & Analytics , you will be the strategic "brain" of our entire FinCrime defense system . You will lead the analytical engine responsible for developing and optimizing the models, rules, and strategies that protect our platform and customers from fraud and other financial crimes in real-time.

This is a high-impact leadership role for a technical, data-fluent individual who thrives on solving complex problems and staying ahead of emerging threats. You will be instrumental in ensuring our risk management capabilities are not only compliant but also a competitive advantage.

In this role, embodying ownership and a commitment to craving impact , you will be expected to deliver significant results by :

Lead Detection Strategy - Lead the strategy, development, and optimization of our fraud and AML / CTF transaction monitoring systems across all products.

Collaborate with Data Science - Work directly with our Data Science team to design, build, test, and deploy sophisticated machine learning models for risk scoring and real-time fraud detection.

Own the Rules Engine - Take full ownership of the rules engine, working closely with the Transaction Monitoring Engineer to put rules in production and ensure maximum effectiveness and minimal customer friction.

Drive Proactive Research - Lead data-led research initiatives, using advanced analytical techniques to proactively identify new fraud typologies and emerging threats before they result in significant loss.

Monitor System Performance - Establish and own the key performance analytics for our detection systems, focusing on continuously improving metrics like True Positive Rate, False Positive Rate, and model accuracy.

Manage Technology & Vendors - Evaluate, select, and manage relationships with third-party technology and data vendors to enhance our prevention capabilities in areas like device intelligence, biometrics, and identity verification.

Provide Strategic Insights - Act as the key analytical partner to the Head of FinCrime and other senior leaders, providing actionable intelligence and strategic recommendations to improve our overall FinCrime framework.

You will lead and mentor high-performing teams, collaborate closely with peers with structured communication and transparency, demonstrating a commitment to integrity and ownership.

What we’re looking for

We are seeking a proven leader with a distinguished track record of success in driving strategic initiatives and achieving significant business growth within relevant sectors.

You will lead by example, combining ambition with purpose, drive impactful results, and cultivate ownership and continuous improvement in our dynamic environment.

A Bachelor’s or Master’s degree in a quantitative field such as Statistics, Computer Science, Mathematics, Economics, or a related discipline.

7+ years of progressive experience in fraud strategy, risk analytics, or transaction monitoring within fintech, payments, or financial services.

Proven experience leading analytical teams and setting data-driven strategy .

Deep, technical understanding of the fraud lifecycle and common typologies across various products (e.g., synthetic ID,