Generative AI can draft formulas, code and commentary in minutes, but a model that nobody can explain, test or trace is a liability, particularly in banks, insurers, funds and corporates answerable to auditors and regulators. Across ten days, finance professionals learn to use AI as a modelling assistant while keeping every number defensible. You build three-statement models, valuation and cash flow forecasts, credit and liquidity models, and investment cases in Excel, then extend them with Python and pandas for larger datasets, forecasting and Monte Carlo simulation.
Scenario work covers sensitivity tables, stress tests, reverse stress tests and macroeconomic scenario design. Governance runs throughout: model inventories and tiering, assumptions logs, independent validation, back-testing, change control, prompt records, data lineage and the limits of AI-generated output, in the spirit of supervisory model risk guidance. The programme suits financial analysts, FP&A managers, credit and market risk officers, treasury staff, actuaries, investment professionals, internal auditors and model validators. Classroom sessions run in our 18 cities, with online and in-house options. You return able to build, test and defend a model pack, and to put controls around AI use in your team. A CPD-accredited Certificate of Completion from Vision Reach Global Consultancy is awarded.
Financial models now drive pricing, lending, capital allocation, impairment estimates and investment approvals, and the arrival of generative AI has made it far quicker to build them. That speed brings new risks: formulas that look plausible but contain silent errors, invented assumptions, untraceable code and over-reliance on tools nobody has validated. Supervisors and auditors increasingly expect firms to treat models, including AI-assisted ones, within a formal model risk management framework.
The AI-Assisted Financial Modelling and Scenario Analysis Under Model Risk Governance Training Course provides both halves of the answer. The first half builds capability: modelling structure and best practice, three-statement and valuation models, forecasting, credit and liquidity applications, and the use of AI assistants and Python to accelerate drafting, auditing and analysis. The second half builds control: scenario design, stress testing, validation techniques, documentation standards, inventory and tiering, change management and reporting of model risk to senior committees.
Over the ten days, participants work through a continuous case from blank workbook to validated, documented model pack. They learn where AI helps, where it must be challenged, and how to record its use so that reviewers can reproduce results. The course closes with an integrated project presented to a mock model risk committee.
By the end of the programme, participants will be able to:
Participants finish the ten days with:
The programme is a laboratory for building and testing models under realistic controls. Methods include:
Day 1: Modelling Foundations and the Role of AI
Day 2: Three-Statement Model Construction
Day 3: Valuation and Investment Cases
Day 4: Credit, Liquidity and Treasury Models
Day 5: Python and Data for Finance
Day 6: Scenario and Sensitivity Analysis
Day 7: Simulation and Probabilistic Analysis
Day 8: Model Risk Management Frameworks
Day 9: Validation, Testing and Documentation
Day 10: Integrated Project and Governance in Practice
The programme suits finance and risk professionals who build, use, review or oversee models, including:
Participants who complete the ten days of sessions and the practical labs receive a Certificate of Completion, CPD-accredited and issued by Vision Reach Global Consultancy.
Upcoming cohorts
CPD-Accredited
Official invoice & confirmation letter provided
Team discount for 3+ seats
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Everything you need to know about this course before you register.
By the end of the AI-Assisted Financial Modelling and Scenario Analysis Under Model Risk Governance programme, you'll be able to structure financial models using recognised best practice for inputs, calculations and outputs, build integrated three-statement, valuation, credit and liquidity models, use ai assistants, python and pandas to draft formulas, code and forecasts while verifying every result, and design sensitivity, scenario and stress analyses, and run monte carlo simulations. The full breakdown of topics is covered session by session in the Course Outline tab above.
The programme suits finance and risk professionals who build, use, review or oversee models, including: Financial analysts and FP&A managers, Credit risk, market risk and liquidity risk officers, Treasury and asset-liability management staff, Investment analysts, fund managers and corporate finance teams, Actuaries and insurance analysts, Model validators and independent review teams, Internal auditors and compliance officers reviewing models, Chief financial officers and heads of finance responsible for model governance, and Regulators and central bank supervisors.
AI-Assisted Financial Modelling and Scenario Analysis Under Model Risk Governance Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
AI-Assisted Financial Modelling and Scenario Analysis Under Model Risk Governance Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of AI-Assisted Financial Modelling and Scenario Analysis Under Model Risk Governance starts October 12, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for AI-Assisted Financial Modelling and Scenario Analysis Under Model Risk Governance Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
AI-Assisted Financial Modelling and Scenario Analysis Under Model Risk Governance Training Course is pitched at advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for AI-Assisted Financial Modelling and Scenario Analysis Under Model Risk Governance Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — AI-Assisted Financial Modelling and Scenario Analysis Under Model Risk Governance Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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