Head of AI & Data

Job Summary

We are hiring a Head of AI & Data to lead the development of AI systems powering our analytics and decisioning platform for financial institutions.

About the Role

This role is responsible for building and scaling production-grade AI agents, models, and data infrastructure that operate in real-world banking environments. You will own the technical foundation of our platform from model design to deployment ensuring our AI systems are reliable, scalable, and enterprise-ready.

Responsibilities

• Lead design and development of AI/ML models for prediction, decisioning, and automation
• Build AI agent systems using LLMs and structured financial data
• Define model architecture, training approach, evaluation, and iteration cycles
• Improve model performance across accuracy, reliability, and explainability
• Build and scale data pipelines supporting real-time and batch processing
• Design data architecture for structured and unstructured financial data
• Ensure data quality, consistency, lineage, and security
• Support integration of multiple data sources across banking workflows
• Deploy models into production environments with high reliability and uptime
• Ensure systems meet enterprise requirements (latency, scalability, observability)
• Build monitoring systems for model drift, performance, and anomalies
• Work closely with engineering to operationalize AI features at scale
• Translate financial workflows into AI-driven systems

Build Models For Use Cases

• Risk scoring
• Credit decisioning
• Fraud detection
• Customer behavior prediction

Requirements

• Experience building and deploying production ML/AI systems
• Strong background in machine learning, data engineering, or applied AI
• Experience working with large-scale datasets and model pipelines
• Hands-on ability to design and ship systems (not just research)
• Strong understanding of model evaluation and system performance
• Experience with LLMs, agent-based systems, or foundation models
• Background at leading AI, infrastructure, or data companies
• Experience in fintech, financial data, or regulated environments
• Exposure to scalable cloud data/ML infrastructure (AWS, GCP, etc.)
• Experience building systems from early-stage to production scale

Qualifications

You will own the technical backbone of the platform and directly influence how AI is applied in real banking environments. Reports to: CEO / CTO