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KPMG Advisory

Technical Business Analyst, Senior Associate

KPMG Advisory
BusinessSingaporeFull-time3 weeks ago
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About the role

AI summarised

Senior Associate Technical Business Analyst role in KPMG's Financial Services Advisory team, bridging business needs and AI-driven solutions for financial institutions. Responsibilities include business analysis, prompt engineering for LLMs, and solution delivery. Requires 5+ years of BA experience in financial services and proficiency in prompt design.

BusinessFull-timeGeneral

Key Responsibilities

  • Collaborate with stakeholders to elicit, analyze, and document business requirements for technology-driven initiatives in banking, insurance, capital markets, etc.
  • Translate complex financial processes into functional specifications for AI-enabled solutions.
  • Conduct gap analysis between current systems, ensuring alignment with regulatory, compliance or company standards.
  • Support digital transformation projects, including automation, risk management, and customer experience enhancements.
  • Design, test, and refine prompts for large language models (LLMs) to ensure accurate, context-aware outputs for financial use cases with our KPMG assets.
  • Develop prompt libraries and templates for recurring advisory scenarios such as financial reporting, data preparation, accounting, etc.
  • Collaborate with data scientists and AI engineers to fine-tune models and improve performance through prompt optimization.
  • Ensure ethical and compliant AI usage, adhering to industry standards and data privacy regulations.
  • Act as a liaison between business teams, technology teams, and AI specialists, ensuring seamless communication and delivery.
  • Prepare business cases, impact assessments, and ROI analyses for AI-driven initiatives.
  • Conduct user acceptance testing (UAT) and provide training on AI-enabled tools and workflows.
  • Support change management and adoption strategies for new technologies within client organizations.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Finance, or related field.
  • Master's degree or professional certifications (CBAP, CFA, or AI/ML certifications) preferred.
  • 5+ years as a Business Analyst in financial services (banking, insurance, asset management).
  • Hands-on experience with AI/ML technologies, particularly LLMs and prompt engineering.
  • Proficiency in prompt design and optimization for generative AI models.
  • Familiarity with Python, SQL, and data visualization tools.
  • Understanding of cloud platforms (Azure, AWS, GCP) and API integrations.
  • Strong grasp of financial products, regulatory frameworks, and accounting management principles.
  • Excellent communication, stakeholder management, and problem-solving abilities.
  • Ability to work in agile environments and manage multiple priorities.