We are seeking an AI & Automation Specialist to drive the transformation of its debt collections and recoveries capabilities through intelligent automation and AI-driven decisioning.

The bank has recently implemented a modern debt collections and recovery platform and is looking for a specialist who can help unlock its full potential.

The successful candidate will be responsible for disrupting traditional spreadsheet-driven reporting processes and introducing AI-enabled automation, predictive insights, and real-time decisioning capabilities.

The goal is to move the business toward a self-service, real-time collections intelligence environment, where operational insights and recovery strategies can be accessed instantly.

About the Platform

The role will support our Debt Collections & Recoveries ecosystem.

The Debt Manager software is a specialised financial services platform designed to manage the full debt recovery lifecycle, including:

• collections workflow management

• automated account prioritisation

• debtor segmentation

• repayment strategy optimisation

• recovery performance reporting

The platform enables financial institutions to optimise collections strategies, reduce non-performing loans, and improve recovery outcomes through automation and data-driven decisioning.

Key Responsibilities

AI & Automation

• Design and implement AI-driven solutions that automate collections decisioning and reporting processes.

• Develop predictive models to support collections prioritisation, debtor segmentation, and repayment forecasting.

• Implement automation solutions that reduce reliance on manual reporting and spreadsheet-based processes.

Platform Optimisation

• Work closely with business stakeholders to maximise the capabilities of the Debt Manager collections platform.

• Design integrations between the collections platform and other enterprise systems.

• Enhance platform usage through automation, APIs, and intelligent workflows.

Real-Time Insights & Reporting

• Transform legacy reporting processes into real-time self-service analytics solutions.

• Develop automated dashboards and reporting frameworks.

• Enable business users to access operational insights at the click of a button.

Data & Integration

• Design data models and integration pipelines to support AI-driven collections strategies.

• Work with enterprise data environments such as Dataverse / Dynamics 365 and other banking data platforms.

• Ensure data quality, governance, and security standards are maintained.

Technology & Engineering

• Develop backend services and automation tools using technologies such as Java or .NET.

• Build and maintain CI/CD pipelines and modern DevOps practices.

• Support containerised deployments using Docker / Kubernetes where applicable.

Required Skills & Experience

AI / Machine Learning

• Experience designing and implementing AI or machine learning solutions in enterprise environments.

• Experience with predictive modelling, decisioning engines, or automation systems.

Financial Services / Collections

• Experience working within financial services, debt collections, credit risk, or recoveries environments.

• Exposure to collections platforms such as Debt Manager, FICO, or similar systems is advantageous.

Data & Analytics

• Strong data modelling and querying capabilities using SQL / NoSQL databases.

• Experience designing automated reporting and analytics frameworks.

Technology Stack

Experience with some of the following:

• Java / .NET

• Python

• SQL / NoSQL databases

• Dataverse / Dynamics 365

• API integrations

• CI/CD pipelines

• Docker / Kubernetes

• Cloud environments (AWS / Azure / GCP)

Ideal Candidate Profile

The ideal candidate is a technically strong AI practitioner or automation engineer who enjoys solving complex operational problems through technology.

They will be comfortable working across AI, data, engineering, and business transformation, and will have a passion for modernising legacy processes through intelligent automation.