We are where the world checks out, enabling over 10 billion transactions daily for more than one billion global shoppers.

Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.

If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.

With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.

Leading Data and Analytics for Payment Performance:

We pride ourselves on being the best payment platform for achieving market leading acceptance rates through our Intelligent optimisation and fraud detection engine. As Senior Data Analytics Manager, you will own the data analytics delivery underpinning multiple products that define our competitive edge. Being the strategic partner for engineering, product and design leaders, you will provide direction for product’s success through insights, build data products that measure success and ROI our payment performance engine. As a senior leader within the Data Analytics function, you will manage a team of Product Data Scientists and Analytics Engineers.

How you'll make an impact:

Leadership: Own the data and analytics strategy for the product vertical, end-to-end delivery of insights and data products.

Product Measurement & Insights: Working closely with the pillar leaders you will set the bar for how data is used in product decision making and measuring the ROI of the payment performance product suite. You will use your experience in data science and analytics to help your team to deliver rigorous measurement methods to ensure we have clear, actionable insights for the product team and our merchants.

Data Architecture: Be the gatekeeper for designing the right data architecture to create clean, cost efficient and reliable data pipelines that deliver high data quality and rich data instrumentation.

Team Development: Build and develop a team high-performing data scientists and analytics engineers

What We’re Looking For:

Demonstrable multi-year experience in leading data science, product analytics and/or data engineering teams

Proven track record in implementing measurement systems for product and system development, applying experimentation, causal inference and so forth

Experience in collaborating cross-functionally with all levels of stakeholders, setting roadmaps, own prioritization, and scoping for the delivery

AI-forward mindset and fluency in applying Gen AI in both delivery productivity as well as delivering data and analytics products

Demonstrable track record in managing and developing product data scientists and data engineers

Core analytics skills, data interrogation skills with SQL/Python, Data Modelling/Engineering, applied statistics (e.g., hypothesis testing, regression, predictive modelling)

Ideally, having worked with acceptance, fraud and cost optimisation within the context of payments or financial technology services

Robust understanding of how products should be instrumented, with the ability to optimize for rigor while considering cost and quality

Additional Information

Bring all of you to work

We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.

Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.

We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.

It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.