FinGen: Generative AI for Finance Professionals - Digital Banking

This one-day workshop is designed for finance professionals in Malaysian banks seeking to elevate reporting accuracy, streamline reconciliation, and improve risk oversight through Generative AI.

With increased demands for real-time insight, auditability, and fraud prevention, this workshop empowers finance teams across retail, Islamic, SME, and investment banking to apply AI for automation, insight generation, and decision support.

The morning focuses on strategy and model literacy. The afternoon features hands-on demos using finance-specific data, plus brainstorming to identify internal high-impact use cases.

Programme Outline

Learning Objectives

By the end of the programme, participants will be able to:

Understand GenAI’s relevance to financial operations, risk, and planning
Distinguish between AI model types and their implications in banking
Apply prompting techniques to reporting, narrative writing, and reconciliation
Improve speed and accuracy in financial workflows using GenAI tools
Recognise risks and responsibilities in regulated AI adoption
Walk away with concrete ideas to automate, accelerate, or enhance finance functions

Programme Outline

Module 1: Reimagining Banking Finance with Generative AI
How AI is transforming Finance’s role in risk, compliance & strategic planning
Moving from backward-looking reporting to proactive financial insight
Banking Examples: faster reconciliation, predictive budgeting, narrative reporting
Interactive: What are your current pain points in finance operations or reporting cycles?
Reflection: Where speed, transparency, or scale are most needed in your unit
Module 2: AI Fundamentals for Bank Finance Leaders
GenAI vs Traditional Models – key differences that impact finance use cases
Prompting for financial narratives, board packs, and variance explanations
How Large Language Models (LLMs) work behind the scenes
Case: Prompt variations in stress-test vs. optimistic forecast narratives
Thought Experiment: Could your CFO trust this AI-generated summary?
Module 3: Automating Reporting, Reconciliation & Document Workflows
Key Use Cases in Banking:
Monthly MI packs
Cross-branch expense audits
Policy updates & finance SOPs
Live Demo: Use ChatGPT to auto-generate a reconciliation summary and audit memo
Tool Integration: Excel AI plug-in, Power BI, ERP + GPT integrations
Caution Zones: what to automate vs. where human oversight is essential
Module 4: Smarter Risk, Fraud & Compliance Monitoring with AI
How AI detects anomalies in retail transactions & operational finance data
Techniques in fraud flagging, AML detection, and early warnings for credit risk
Governance frameworks: responsible, auditable AI in regulated environments
Demo: Generate a transaction anomaly alert summary using mock banking data
Checklist: Aligning AI usage with BNM & internal compliance expectations
Module 5: Hands-On Lab: Extracting Insights from Finance Data Using AI
Practice Activities:
Generate commentary for variance explanations
Summarise board-level finance updates
Create simplified dashboards or summaries from tables
Tools: ChatGPT, Excel AI, Tableau GPT (optional)
Peer Review: Teams present outputs for review & critique
Module 6: Group Brainstorm: Identifying AI Wins in Banking Finance
Small Groups: Identify bottlenecks in your finance process (e.g. manual checks, repetitive entries, recon delays)
Guided Prompts:
What’s repetitive or approval-heavy?
What’s slowing reporting cycles or variance narratives?
AI Matching: Facilitators help link problems to tools/techniques
Output: FinGen “Top 5 AI Opportunity” list to explore internally

METHODOLOGY

Interactive group discussions, lectures, exercises, case studies and sharing of real-world experiences

Participant profile

Finance Managers, Controllers, and FP&A Leads (Retail, HQ, Islamic, SME)
Business Finance and Finance Business Partners
Risk & Audit Officers exploring AI-powered detection
Shared Services / Ops Finance leaders
Finance Transformation, Strategy, and CFO Office Teams
Anyone managing financial reporting, planning, compliance, or analytics

Trainer

Peter Kua

Co-Founder of Growth.Pro Data Science Training Academy | Data & AI Strategist Trainer

Ng Keng Fai

Lead Trainer and Data Science Lead at Growth.Pro Data Science Consulting & Training

Found a programme that you think would be suitable for your organisation?

Many of our courses can be customised and delivered in-house. We also provide consultancy services to create tailor-made training programmes that are specifically aligned with your organisation’s strategic learning requirements. Contact us today to learn more about how we can support your team’s development by completing the In-House Request Form here or Emailing Us here.

Other programmes

Invest in a lifelong learning journey

As the industry’s preferred partner in learning and development, ABS offers customised and open enrolment training programmes that cover a comprehensive list of banking areas.

Need help? Ask ABBY

Sustainable Finance

11/26/2024 12:00:00 AM

Energy Efficiency Financing in Malaysia

Multi-Disciplines

12/8/2025 12:00:00 AM

Banking 2030: A Glimpse into the Future of Finance

Investment Banking

6/9/2025 12:00:00 AM

The Psychology of Finance and Investment Decisions

Treasury & Capital Market

11/24/2025 12:00:00 AM

Evolution of Basel Capital Adequacy Frameworks: Concepts and Principles

Credit

11/4/2025 12:00:00 AM

Inclusive Banking: Safeguarding Vulnerable Consumers

Peter Kua

Co-Founder of Growth.Pro Data Science Training Academy | Data & AI Strategist Trainer

Peter Kua is the cofounder and Chief Data Officer of Growth.Pro Data Science Consulting & Training. His responsibilities include finding ways data can be used as a competitive advantage as well as identifying new business opportunities with data. He also headed the Data Science team in REV Media Group (formerly known as Media Prima Digital) and was instrumental in driving the National Big Data Analytics Initiative under MDEC in the areas of thought leadership and industry development. He played a key role in developing the first National BDA Framework that delivered strategic recommendations and action plans to achieve the National BDA vision.

Peter has conducted face-to-face training which includes public masterclasses in Big Data Strategy for NTT Data, PAS Selangor, CIIF, PosAviation, Hitachi, FGV, Perodua, Maxis, SIRIM, and Principal Asset Management CIMB. In addition, he also trained several in-house Big Data Strategy workshops for organizations such as OCBC, Keysight, TNB, TM One, and Johnson & Johnson. During the MCO period, Peter conducted several 2-day Big Data Strategy public virtual classes for Citibank, Alliance Bank, Bank Islam, Intel, Osram, Dell, Sarawak Energy, Optics Balzers, Penang Port, and Maxis Broadband. Most of his audience who had attended his in-house and public classes are senior managers and above.

Peter’s core professional strengths include data science & big data strategies and thought leadership. His industry experience includes the media, internet, manufacturing, FMCG, e- learning and agriculture.

Ng Keng Fai

Lead Trainer and Data Science Lead at Growth.Pro Data Science Consulting & Training

Keng Fai is the Lead Trainer and Data Science Lead at Growth.Pro Data Science Consulting & Training, where he designs interactive corporate training programs in AI, data science, and machine learning. He also develops frameworks and prototypes for AI-driven solutions, helping businesses integrate cutting-edge technology into their operations.

With a diverse background spanning academia, entrepreneurship, and industry, Keng Fai has previously lectured at UniRazak and served as a vocational trainer at New Era Institute of Vocational and Continuous Education (Kajang). He also founded and led software development teams in fintech and edtech startups, combining his expertise in marketing, software engineering, and AI to deliver impactful solutions.

Keng Fai also brings corporate training experience across manufacturing, fintech, and financial institutions, equipping professionals with future-ready AI and data competencies. He has led specialized workshops and upskilling programs for manufacturing giants, trained fintech teams on AI-powered automation and fraud detection, and conducted analytics and AI strategy sessions for banks and financial service providers.

His cross-industry experience includes robotics/mechatronics engineering, with roles in oil & gas and manufacturing at Flextronics. Additionally, he has consulted for and coached clients such as Beyond Insights, Plus Minus Zero, and Watson-Marlow, helping them leverage AI and data-driven strategies.

During the Malaysian Movement Control Order (MCO), Keng Fai conducted e-training sessions for entrepreneurs across industries, covering marketing, web development, and data analytics for clients like TOC Automotive College and La Gourmet. His expertise also earned him an invitation to Astro AEC’s《企业棒帮忙》SME Great Helper, where he advised on digital transformation for the music industry.