AI & Digital Innovation Senior Associate (Financial Services Assurance)
AI in this role
Line of Service
AssuranceIndustry/Sector
FS X-SectorSpecialism
AssuranceManagement Level
Senior AssociateJob 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.
Key Responsibilities
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 skills, with keen attention to detail and ability to troubleshoot complex technical challenges.
Strong verbal and written communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders and explain technical concepts clearly.
Self-motivated, curious, eager to learn, and interested in how AI and automation can transform audit and assurance processes.
Adaptable and open to feedback, with a strong focus on delivering high-quality client outcomes.
Application Notes
Only shortlisted candidates will be notified due to the high volume of applications
There have been reports of scammers impersonating PwC HR professionals contacting individuals about fraudulent job opportunities using non-PwC domain email addresses and an overseas number. Please note that genuine communications from our HR team will only come from "@pwc.com" email addresses.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Access Control (AC), Active Listening, Audit Internal Controls, BASIS Database Management System (DBMS), Business Process Improvement, Communication, Emotional Regulation, Empathy, ERP System Integration, Inclusion, Intellectual Curiosity, IT Controls, Optimism, Process Control, SAP ERP, SAP Governance, Risk and Compliance (GRC), SAP HCM, SAP Supply Chain Management (SAP SCM), Security Control, Security Control Assessment, SOX Compliance, Teamwork, Well BeingDesired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
YesGovernment Clearance Required?
YesJob Posting End Date
How we score this
AI & Digital Innovation Senior Associate (Financial Services Assurance) at PwC scores 14 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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