AI & Digital Innovation Senior Associate (Financial Services Assurance)

PwC is hiring an AI & Digital Innovation Senior Associate (Financial Services Assurance) for a remote role open to applicants in Singapore. Level rates it ; you can apply on PwC.

Level's read on this job

Level rates this role Builds AI ●●●●: the job is building AI systems.
The posting lists this role as remote.
PwC mentions visa sponsorship in this posting.
Tools and skills the posting cites include Python, PyTorch and LLMs.
Level lists 3,700+ other open roles at PwC.

AI in this role

Design and deploy AI and machine learning solutions to automate and enhance financial services audit workflows.

PythonPyTorchLLMs

nlpai-safetymachine-learninggenerative-aidata-pipelines

Line of Service

Assurance

Industry/Sector

FS X-Sector

Specialism

Assurance

Management Level

Senior 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.

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 Being

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

Yes

Job Posting End Date

How we rate this

AI & Digital Innovation Senior Associate (Financial Services Assurance) at PwC rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI & Digital Innovation Senior Associate (Financial Services Assurance) is an open job at PwC.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Singapore and is marked remote.
The job was posted on August 11, 2026.
Seniority: senior.
Applications are handled by PwC. Apply on PwC

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPAI SafetyMachine learningGenerative AIData PipelinesPythonPyTorchLLMs

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
How do you think about the risk of an AI system in this kind of role failing silently?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: NLP, AI Safety, Machine learning, Generative AI, and Data Pipelines. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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