AI Specialist - Enterprise Decision Management

ABOUT CAPCO Capco, a Wipro company, is a global management and technology consultancy specialising in driving digital transformation across the financial services industry. Operating at the intersection of business and technology, Capco combines innovative thinking with unrivalled industry knowledge to fast-track initiatives for banking and payments, capital markets, wealth and asset management, and insurance. Our ingenuity is brought to life through our Innovation Labs, award-winning Be Yourself at Work culture, and a diverse, talented team across more than 30 offices worldwide. ROLE DESCRIPTION Every consequential moment in financial services — approving a policy, extending credit, flagging a transaction, recommending a portfolio — is a decision. The best financial institutions do not leave those decisions to chance, intuition, or inconsistent human judgement. They engineer them: combining predictive analytics, business rules, and optimisation into decision services that are fast, consistent, auditable, and continuously improving. That discipline is Enterprise Decision Management. As an AI Specialist in Enterprise Decision Management, you will lead the design and delivery of intelligent decision automation solutions for Capco's financial services clients across Asia. You will help clients move beyond point-in-time analytics and disconnected AI engines toward closed-loop decision systems: where predictive models inform rules, rules govern actions, outcomes are measured, and both models and rules are continuously refined as a result. This role demands genuine depth across the full AI and decision management spectrum — from classical techniques such as expert systems, case-based reasoning, and scorecards, through to modern machine learning, optimisation, and large language model integration. We are not looking for generalists who discovered AI in the last few years. We are looking for practitioners who have spent a career building, deploying, and improving intelligent decision systems in production financial services environments. Think of this as a forward-deployed role: you will be embedded with clients, building working solutions alongside their teams, and leaving behind capabilities that outlast the engagement. You will also play a defining role in building Capco's Enterprise Decision Management practice across Asia. KEY RESPONSIBILITIES Decision Strategy & Architecture Lead the design of end-to-end Enterprise Decision Management (EDM) architectures — connecting data ingestion, predictive model scoring, business rule execution, decision optimisation, and outcome measurement into coherent, production-grade decision services. Advise clients on decision strategy: identifying which decisions to automate, which to augment, and which to keep in human hands — and designing the governance frameworks to manage each appropriately. Model and decompose complex financial services decision domains — underwriting, claims adjudication, credit and affordability assessment, client suitability, fraud detection, and regulatory compliance — into structured decision architectures using DMN and related standards. Define the feedback loops and monitoring frameworks that allow decision systems to learn from outcomes — closing the loop between prediction, decision, action, and measurement. Predictive Analytics & Optimisation Design and oversee the development of predictive models — including scorecards, logistic regression, gradient boosting, and neural network approaches — that feed directly into operational decision flows. Apply prescriptive analytics and mathematical optimisation techniques (linear programming, constraint optimisation, genetic algorithms) to maximise decision outcomes at portfolio or population level, not just at the individual transaction level. Advise on champion/challenger frameworks, model validation approaches, and the governance of model changes within live decision systems — ensuring clients meet MAS, HKMA, and internal model risk management requirements. Apply classical AI techniques — expert systems, case-based reasoning, Bayesian inference — where they are the most appropriate and explainable tool for a given decision problem. Rules Engineering & Decision Automation Distinguish clearly between rule engine integration concerns (deployment architecture, service exposure, API design, DevOps pipelines for rules) and rule service design concerns (authoring, testing, governance, and versioning of business logic) — a