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Data & AI

Turn data into insights. Turn AI into impact.

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Shape FinTech with Data & AI

Data can tell us what is happening. Analytics helps us understand why. And AI opens up new possibilities for what happens next.

At Riverty, Data & AI is about turning information into real value. You could build the data foundations behind our products, uncover insights that guide business decisions, develop models that improve how we assess risk, or explore how AI can make processes and experiences smarter.

Whatever your role, you’ll work on questions that connect technology with real business challenges and contribute to how financial services evolve.

Find your place in Data & AI

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Data Engineering & Architecture

Build the foundation

Good decisions start with reliable data.

In Data Engineering & Architecture, you build the foundations that make data usable. This can mean connecting different systems, designing data flows, improving data quality and creating scalable data solutions that analytics and machine learning can build on.

The impact becomes tangible in real products. A recent Riverty Senior Data Engineer role, for example, focused on integrating information from different internal systems into a centralised, real-time data environment for a customer risk platform.

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Data Analysis & Business Intelligence

Turn information into insight

What does the data tell us? And how can we turn that into a better decision?

In Data Analysis & Business Intelligence, you translate complex information into something people can act on. Depending on your role, that can include analysing business questions, developing dashboards, working with KPIs or building reporting and self-service analytics.

The goal is simple: make the right information accessible so that teams can understand what is happening and decide what to do next.

Riverty recruiting materials show roles spanning Data Analyst, BI Analysis and Data & Analytics, reflecting the breadth of this field.

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Data Science & Machine Learning

Build smarter decisions

Some questions need more than a dashboard.

In Data Science & Machine Learning, you use data to identify patterns, develop predictive models and create intelligent decision logic. Your work can connect advanced analytics with concrete challenges in areas such as risk, fraud and financial decision-making.

It's where statistical thinking, machine learning and business understanding come together, with the goal of turning complex information into decisions that create value.

Financial Data Scientist roles have been part of Riverty's recruiting across several European locations.

Artificial Intelligence

Turn AI into practical value

AI matters when it solves a real problem.

At Riverty, working with AI can mean developing intelligent solutions, identifying promising use cases or connecting business challenges with the right technology. The work spans technical and business perspectives, creating opportunities for people who build AI as well as those who help turn its possibilities into practical applications.

Recent Riverty recruiting has included roles such as AI Process Consultant, AI Tech Consultant, Senior AI Engineer and Software Engineer focusing on RAG, Knowledge Graphs & Agentic Systems.

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Shaping Riverty’s AI journey

What does it look like to help shape AI at Riverty? As a Senior AI Tech Consultant, Regina Gerber works at the intersection of technology and business. From supporting the rollout of GitHub Copilot and ChatGPT Enterprise to building Riverty’s internal AI assistant, her story shows how curiosity, collaboration and continuous learning can turn new technology into real impact.

Read Regina's Story