Financial Services Assurance – AI & Digital Innovation Senior Associate

Line of Service Assurance Industry/Sector FS X-Sector Specialism Assurance Management Level Associate Job Description & Summary At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 364,000 people in 136 countries and 137 territories. Across audit and assurance, tax and legal, deals and consulting, we help clients build, accelerate, and sustain momentum. Find out more at www.pwc.com. Our Financial Services Assurance Practice works with organisations to strengthen trust and transparency by building, maintaining and providing trust over financial reporting in a fast changing, technology-driven world. As Asia’s top financial services practice, our audit approach is at the leading edge of best practice. We draw upon our extensive industry knowledge for our clients including top blue chip companies in the asset management, banking, capital markets, and insurance sectors. We provide our clients with insights, empowered by leading technologies, into marketplace developments and global opportunities.

Analyze   audit workflows to   identify   and prioritize opportunities for automation, AI enablement, and process improvement.   Lead collaboration efforts with auditors, risk assurance professionals, and business stakeholders to translate audit requirements into scalable AI and automation solutions.   Design, develop, test, and   validate   AI/ML models, leveraging classical machine learning, NLP, and generative AI techniques to address audit challenges.   Architect and build AI-enabled tools, including intelligent assistants, workflow automations, and knowledge retrieval systems that enhance audit execution.   Drive prototyping, deployment, and ongoing monitoring of AI solutions from concept through production, ensuring scalability, robustness, and compliance.   Develop and   maintain   data preparation processes, integration workflows, and scalable data pipelines across audit, finance, risk, and enterprise systems.   Work independently with diverse data types—including structured financial data, unstructured documents such as audit workpapers and policies—to create reliable data products for AI use cases.   Prepare comprehensive documentation, training materials, and lead knowledge transfer sessions to   facilitate   adoption of AI and automation tools by audit teams.   Stay current with emerging AI, automation, cloud, and audit technology trends; evaluate their applicability and drive continuous innovation within the audit transformation program.   Ensure all AI solutions   comply with   firm policies, regulatory requirements, data privacy standards, and responsible AI principles.   Mentor junior team members,   provide   technical guidance, and contribute to building a collaborative and motivated team culture.     What   we’re   looking for   Bachelor’s degree in Computer Science , Data Science,   Information Systems,   Finance, Accounting, Engineering, or a related field.   3–5 years of hands-on experience developing and deploying AI, machine learning, data analytics, generative AI, or automation solutions, preferably in financial services, risk assurance, audit, or compliance contexts.   Proficiency   in programming languages such as Python, R, SQL, or similar, with experience in production-level software development and data engineering.   Solid understanding of audit processes, internal controls, risk assessment, financial reporting, or regulatory compliance is   advantageous   but not mandatory.   Familiarity with cloud platforms (Azure, AWS, GCP), workflow automation tools (Power Platform, UiPath, Automation Anywhere), generative AI platforms, and data visualization tools.   Demonstrated ability to design and implement scalable data pipelines, ETL workflows, and APIs integrating multiple data sources.   Strong analytical and problem-solving