AI & Digital Innovation Senior Associate (Financial Services Assurance)

Key Responsibilities

• Analyzeaudit workflows toidentifyand 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, andvalidateAI/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 andmaintaindata 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 tofacilitateadoption 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 solutionscomply withfirm policies, regulatory requirements, data privacy standards, and responsible AI principles.

• Mentor junior team members,providetechnical guidance, and contribute to building a collaborative and motivated team culture.

Whatwe’relooking 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.

• Proficiencyin 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 isadvantageousbut 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 

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