CEO, AI Neobank

📍 Ort: United Kingdom 🏷️ Skills: ActAI CEO Office, Full Time

Stellenbeschreibung

About ActAI

There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.

Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting.

About the Role

The CEO - AI Neobank will build and own an AI-native digital banking business. The role will rethink how consumers bank by using AI across everyday money management, transactions, savings and financial decisions.

What you will be doing

  • Define the AI Neobank proposition, product roadmap and business model.

  • Build AI-native experiences across accounts, cards, payments, savings and money management.

  • Use AI to automate and improve financial decisions, customer workflows and servicing.

  • Own P&L, customers, deposits, revenue, unit economics and operating costs.

  • Work deeply with product, engineering and AI teams to build and ship the product.

  • Build the core team and required banking, technology and operational capabilities.

  • Drive banking partnerships, regulatory readiness and market expansion.

What you will need

  • Deep experience in digital banking, neobanks or consumer fintech.

  • Direct ownership of a meaningful banking product, business or P&L.

  • Strong understanding of banking products, economics, operations and regulation.

  • Strong product judgement and ability to identify where AI creates a materially better banking experience.

  • Experience building and scaling technology products and teams.

  • Hands-on operating capability. Able to work directly through product flows, economics, customer problems and execution.

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Typische Aufgaben & Verantwortlichkeiten

  • Entwicklung und Training von Machine‑Learning‑Modellen
  • Analyse großer Datenmengen zur Erkennung von Mustern
  • Implementierung und Optimierung von Algorithmen
  • Zusammenarbeit mit Produkt‑Teams, um KI‑Lösungen in Anwendungen zu integrieren

Gesuchte Fähigkeiten & Skills

  • Programmierkenntnisse in Python oder R
  • Kenntnisse in TensorFlow, PyTorch oder ähnlichen Frameworks
  • Verständnis von Statistik und linearen Algebra
  • Erfahrung mit Datenvisualisierung und Feature Engineering

💰 Geschätzte Gehaltsspanne

€80.000 – €150.000 pro Jahr

Schätzwert auf Basis vergleichbarer KI-Stellen in Deutschland. Tatsächliches Gehalt kann abweichen.