Role Overview
We are hiring a high-impact Head of AI & Data to lead the development of AI systems powering our analytics and decisioning platform for financial institutions.
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.
What You’ll Own
AI Systems & Model Development
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
Data Infrastructure & Engineering
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
Production Deployment & Scalability
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
Financial Use Cases & Domain Intelligence
Translate financial workflows into AI-driven systems
Build models for use cases such as:
risk scoring
credit decisioning
fraud detection
customer behavior prediction
Work closely with product and domain experts to ensure real-world applicability
What We’re Looking For
Required Experience
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
Strong Preference For Candidates With
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
What Success Looks Like (First 6–12 Months)
Production-grade AI systems powering core financial workflows
Stable, scalable data infrastructure supporting multiple product lines
Measurable improvements in model accuracy and system reliability
Clear AI architecture supporting enterprise adoption and scale
Strong collaboration with product and engineering to ship AI features
Why This Role
This is a high-impact opportunity to build the core AI infrastructure powering decisioning and analytics for financial institutions.
You will own the technical backbone of the platform and directly influence how AI is applied in real banking environments.
Reports to: CEO / CTO
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