Technical Business Analyst, Senior Associate

KPMG SERVICES PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A global advisory firm in Singapore is seeking a skilled Technology Business Analyst (Tech BA) with expertise in Prompt Engineering for its Financial Services Advisory team. The role involves analyzing business needs and designing advanced AI solutions for financial institutions. Candidates should possess strong analytical abilities, domain knowledge in financial services, and experience in prompt engineering. This role offers an opportunity to bridge business requirements with cutting-edge technology implementations and supports digital transformation initiatives.

Benefits

Flexible working framework

Diverse and inclusive workplace

Career development opportunities

Qualifications

• 5+ years of experience as a Business Analyst in financial services.
• Hands-on experience with AI/ML technologies, particularly LLMs.
• Strong grasp of financial products and regulatory frameworks.

Responsibilities

• Collaborate with stakeholders to analyze and document business requirements.
• Design and optimize prompts for large language models.
• Act as a liaison between business and technology teams.

Skills

Analytical capabilities

Prompt design and optimization

Stakeholder management

Excellent communication

Problem-solving abilities

Experience with AI/ML technologies

Agile methodology

Education

Bachelor's degree in Computer Science or related field

Master's degree or professional certifications (CBAP, CFA, AI/ML certifications)

Tools

Python

SQL

Cloud platforms (Azure, AWS, GCP)

Data visualization tools

Job description

We are seeking a skilled Technology Business Analyst (Tech BA) with expertise in Prompt Engineering to join our Financial Services Advisory team. This role bridges the gap between business needs and advanced AI-driven solutions, enabling financial institutions to leverage cutting-edge technologies for operational efficiency, financial reporting, regulatory compliance, and strategic growth. The ideal candidate combines strong analytical capabilities, domain knowledge in financial services, and proficiency in designing and optimizing prompts for AI models.

Key Responsibilities

• Business Analysis & Advisory 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.
• Prompt Engineering & AI Integration 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.
• Solution Delivery & Stakeholder Management 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.

Required Skills & Qualifications

• Education: 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.
• Experience: 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.
• Technical Skills: 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.
• Domain Knowledge: Strong grasp of financial products, regulatory frameworks, and accounting management principles.
• Soft Skills: Excellent communication, stakeholder management, and problem‑solving abilities. Ability to work in agile environments and manage multiple priorities.

Only shortlisted candidates will be contacted by KPMG Talent Acquisition team, personal data collected will be used for recruitment purposes only.
At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, colour, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the different talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi‑work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.