Financial Management, Banking, and Insurance Sweden

Financial Analysis, Modeling and Forecasting Training Course

In an environment where capital allocation decisions are increasingly scrutinized, the ability to translate complex data into actionable financial intelligence is a critical differentiator for modern organizations. Financial analysis, modeling, and forecasting are the disciplines of constructing dynamic, mathematical representations of a company’s financial performance to predict future outcomes and evaluate strategic alternatives.

This course bridges the gap between theoretical finance and practitioner-level execution by focusing on the FAST Standard for financial modeling and the integration of Discounted Cash Flow (DCF) and Weighted Average Cost of Capital (WACC) frameworks. You will navigate the transition from static spreadsheets to automated, AI-enhanced forecasting models that account for modern workforce pressures such as real-time data volatility and ESG-driven valuation adjustments. Designed for financial analysts, FP&A managers, investment bankers, and corporate controllers, this training delivers tangible outputs, including fully integrated three-statement models and sensitivity dashboards. By mastering these advanced techniques, you enable your organization to mitigate risk, optimize capital structure, and provide leadership with the evidence-based clarity required for high-stakes investment decisions.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Intermediate To Advanced
Level
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Filling Fast
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Weekend (4 Wks)
USD 850
Starts
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Mon - Fri (5 Days)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,600
Kigali Rwanda
Mon - Fri
5 Days
USD 1,900
Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,100
Addis Ababa Ethiopia
Mon - Fri
5 Days
USD 2,400
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,100 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 2,800 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 3,900 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,500 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,300 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →
Nakuru, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →
Accra, Ghana Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Kisumu, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

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FAMF-39 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
FAMF-39 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →
FAMF-39 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
FAMF-39 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →

Our instructor comes to your office — same curriculum and accredited certificate, with case studies built around the work your team actually does.

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Train your entire team together in a familiar environment for better collaboration

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Content tailored to your industry, tools, and specific business challenges

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How It Works
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About the Course

Modern organizations demand more than just historical reporting; they require predictive foresight that can withstand market volatility. This course addresses the core challenge of financial transparency by moving beyond basic spreadsheet functions into the realm of sophisticated structural design. You will develop the capability to build robust models that are flexible, transparent, and audit-ready, ensuring that your financial narratives are backed by rigorous mathematical integrity. Throughout the program, you will practice five core domain capabilities: constructing integrated financial statements, performing multi-scenario stress testing, executing complex valuations, automating data ingestion workflows, and synthesizing technical findings into executive-level dashboards.

The curriculum is designed for professionals who must deliver high-impact results under tight deadlines and regulatory constraints. You will learn to apply the Capital Asset Pricing Model (CAPM) for cost of equity calculations and utilize Monte Carlo simulations to quantify uncertainty in long-term forecasts. This course provides a deep dive into advanced Excel techniques while also introducing you to the conceptual application of machine learning in predictive variance analysis. You will practice hands-on implementation of three-statement integration and be introduced to the strategic frameworks used in M&A and capital restructuring. By the conclusion of the training, you will have moved from being a data processor to a strategic architect of financial value, equipped with a library of templates and frameworks that are immediately deployable in your professional environment.


Target Audience

This program is specifically curated for finance professionals who have mastered basic accounting and spreadsheet functions and are now required to lead complex valuation and forecasting initiatives.

This course is designed for:

  • Financial Planning and Analysis (FP&A) Managers overseeing departmental budgets
  • Investment Banking Associates performing company valuations and deal structuring
  • Corporate Development Managers evaluating potential mergers and acquisitions
  • Senior Financial Analysts responsible for integrated three-statement modeling
  • Treasury Managers optimizing capital structure and liquidity forecasting
  • Strategic Planning Leads aligning financial models with long-term corporate goals
  • Equity Research Analysts producing detailed sector and company reports
  • Commercial Credit Officers assessing borrower risk through sensitivity analysis
  • Project Finance Specialists modeling long-term infrastructure and energy investments
  • Group Controllers managing consolidated financial reporting and variance analysis

Course Objectives

This course equips you to design, execute, and report financial initiatives that improve forecasting accuracy, ensure regulatory compliance, and support strategic growth.

By the end of this course, you'll be able to:

  • Construct a fully integrated three-statement financial model following the FAST Standard
  • Calculate the Weighted Average Cost of Capital (WACC) using the CAPM framework
  • Apply advanced Excel functions to automate data cleaning and model updates
  • Design multi-layered scenario managers to stress-test financial assumptions under volatility
  • Evaluate investment opportunities using Net Present Value (NPV) and Internal Rate of Return
  • Navigate complex debt sculpting and depreciation schedules within a project finance context
  • Implement AI-driven trend analysis to improve the accuracy of revenue forecasting
  • Synthesize technical model outputs into interactive Power BI or Excel dashboards

Requirements & Prerequisites

Participants should have a strong working knowledge of Microsoft Excel (VLOOKUP, Pivot Tables, basic IF statements) and a solid understanding of financial accounting principles (Income Statement, Balance Sheet, Cash Flow). No prior programming experience is required, though familiarity with corporate finance concepts like NPV and IRR is highly recommended.


Local Application and Business Return

How participants can apply the training in local operating conditions, and the return their organisation can plan for.

How participants apply this

In Sweden, participants typically apply this course by rebuilding their existing budget and forecast spreadsheets into structured, FAST-compliant three-statement models that are easier to audit and maintain. FP&A teams use the DCF and WACC techniques to support capital allocation cases, such as investment in new plants, IT platforms, or acquisitions, and to communicate valuation impacts to management. Investment and corporate finance professionals use enhanced forecasting models to stress-test deals under different macro and ESG scenarios, aligning with the country’s strong sustainability focus. Controllers and finance managers integrate real-time ERP data into their models to support rolling forecasts and monthly performance dialogues with business units.

Expected ROI

Within 6–12 months, organizations can expect more reliable forecasts and faster budget cycles as spreadsheet errors are reduced and models are standardized. Deal and project evaluations become more consistent because DCF and WACC assumptions are documented, traceable, and easier to challenge in investment committees. Finance teams typically report shorter turnaround times for ad‑hoc scenario analysis, enabling management to react more quickly to market, interest rate, and FX changes. Over time, better-quality modeling supports improved capital allocation decisions, clearer communication with lenders and investors, and stronger alignment between financial targets and ESG-linked strategic initiatives.

Training Methodology

This is a practical, outcome-driven course designed to turn financial aspiration into measurable action and credible reporting through hands-on application.

Methodology includes:

  • Hands-on construction of an integrated three-statement model
  • Scenario simulation requiring capital allocation decisions under high-inflation market constraints
  • Audit of a legacy financial model using a professional 20-point integrity checklist
  • Stakeholder reporting exercise focused on presenting valuation findings to a board
  • Case study analysis of M&A transactions in the technology and energy sectors
  • Group workshop building a dynamic WACC calculator with live market data inputs
  • Reflection exercise benchmarking current organizational modeling practices against the FAST Standard

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 850
27th Jun-19th Jul 2026

Nairobi

Kenya
USD 1,600
29th Jun-3rd Jul 2026

Kigali

Rwanda
USD 1,850
29th Jun-3rd Jul 2026

Dubai

United Arab Emirates (UAE)
USD 3,900
22nd Jun-26th Jun 2026

Abuja

Nigeria
USD 2,800
29th Jun-3rd Jul 2026

Addis Ababa

Ethiopia
USD 2,500
27th Jul-31st Jul 2026

Zanzibar

Tanzania
USD 2,100
27th Jul-31st Jul 2026

Mombasa

Kenya
USD 1,600
6th Jul-10th Jul 2026

Cape Town

South Africa
USD 3,500
22nd Jun-26th Jun 2026

Johannesburg

South Africa
USD 3,100
22nd Jun-26th Jun 2026

Kampala

Uganda
USD 1,900
22nd Jun-26th Jun 2026

Pretoria

South Africa
USD 3,000
13th Jul-17th Jul 2026

Lagos

Nigeria
USD 2,500
6th Jul-10th Jul 2026

Certification

Recognized credentials that advance your career

Participants who complete the Financial Analysis, Modeling and Forecasting Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Skills Relevance

  • Master cutting-edge financial analysis techniques that top firms demand.
  • Transform data into predictive insights with advanced modelling skills.
  • Grasp the latest forecasting tools to stay ahead in the finance sector.

Expert Delivery

  • Learn directly from industry leaders with years of practical finance experience.
  • Benefit from personalized feedback on your financial models from experts.
  • Engage in real-world case studies crafted by finance professionals.

Career Advancement

  • Boost your career prospects with a certification in financial analysis and forecasting.
  • Equip yourself with skills that increase your marketability to top-tier employers.
  • Position yourself as a finance expert with advanced, hands-on training.

Tools and platforms relevant to this field

Examples Sweden teams may encounter, and that may be featured in training where they support the confirmed course scope.

6

These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.

  • Excel Microsoft Corporation
    Widely used by Swedish finance teams as the primary environment for three-statement modeling, DCF valuation and scenario analysis, and it directly supports the FAST Standard’s emphasis on transparent, structured spreadsheets.
  • Power BI Microsoft Corporation
    Commonly used by FP&A and finance teams in Sweden to turn financial models into interactive dashboards, automate reporting, and visualize forecast scenarios for management and boards.
  • Qlik Sense QlikTech International AB
    Developed by a Swedish-founded company, it is widely adopted in the Nordics for self-service analytics and is often connected to financial models to provide real-time reporting and variance analysis.
  • SAP S/4HANA Finance SAP SE
    Used by larger Swedish corporates for integrated financials and consolidation, providing the actuals and master data that feed DCF, WACC and forecasting models built in specialized tools or spreadsheets.
  • Workday Adaptive Planning Workday, Inc.
    Adopted by some mid-sized and large Swedish organizations for cloud-based budgeting, planning, and forecasting, allowing finance teams to move from static spreadsheets to driver-based models.
  • Board Board International SA
    Used by Scandinavian companies for integrated business planning, combining financial modeling, budgeting and performance management with reporting in a single platform.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Local market advisory

Course relevance for Sweden

A country-specific view of market pressure, regulatory context, and practical business return behind this training.

  • Market context
  • Regulatory fit
  • Business application

Regulatory context in Sweden

The local regulators, laws, and frameworks shaping this discipline, with the curriculum mapped to what teams need to know.

4

Regulators

  • FI Supervises banks, investment firms, insurers and listed companies in Sweden, influencing the disclosure, capital, liquidity and risk management context that financial models and forecasts must reflect.
  • Nasdaq Stockholm Operates Sweden’s main regulated securities market, setting listing and ongoing disclosure requirements that shape how listed issuers prepare forward-looking financial information and valuation analyses.
  • Skatteverket (Swedish Tax Agency) Administers and enforces tax legislation, which affects cash-flow projections, valuation models and scenario analysis through corporate tax, VAT, and other tax-related assumptions.
  • Rådet för Finansiell Rapportering (Swedish Financial Reporting Board) Issues recommendations and guidance on financial reporting in Sweden, particularly in relation to IFRS, shaping the accounting policies and disclosures that underlie financial models.

Frameworks the course aligns with

  • 01 Aktiebolagslagen (Swedish Companies Act, 2005:551) · 2005
  • 02 Årsredovisningslagen (Annual Accounts Act, 1995:1554) · 1995
  • 03 Lag (2007:528) om värdepappersmarknaden (Securities Market Act) · 2007
  • 04 Lag (2007:528) om tillsyn över finans- och försäkringsföretag (Supervision of Financial and Insurance Conglomerates Act) · 2007

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

Who else has attended this training course?

Join global leaders and experts from top-tier organizations who have already benefited from this training. Here are just a few of our past participants:

Designation Organization
Finance and Admin. Supervisor Sombriero Maritime Services Limited, Nigeria
Senior Manager Dubai Holdings, UNITED ARAB EMIRATES
Head of Finance Aviagen East Africa ltd, Tanzania, United Republic of
Finance Manager Suva Mumbe Creations, KENYA
Business Analyst DIB Bank Kenya Limited, KENYA
Director General Deposit Insurance Corporation, MALAWI

Your seat is waiting.

Join these industry leaders and take the next step in your career.

Yes. The core techniques in three-statement modeling, DCF, and WACC are accounting-framework agnostic, and can be implemented using IFRS figures and local statutory data. During practice, you can structure models around your own chart of accounts, reporting formats, and disclosure requirements so outputs reconcile to your Swedish statutory and group reports.

The course focuses on how to design the underlying logic of robust financial models, regardless of the front-end tool. You learn to build consistent driver-based models in spreadsheets, then see how these structures can be connected to tools such as Power BI, Qlik or cloud planning platforms to automate data refresh, visualization and scenario analysis.

Yes. The course examines how ESG themes can affect cash flows, discount rates and terminal value, and how to reflect these impacts transparently in DCF and scenario models. You also explore how to structure assumptions so that sustainability-related risks and opportunities can be sensitized and clearly communicated to decision-makers.

No. The course starts from spreadsheet-based modeling and then shows how automation and AI can be layered on top for tasks such as data ingestion, error checking and pattern detection. Basic spreadsheet proficiency is sufficient; any AI-enhanced workflows are introduced in a practical, tool-agnostic way that you can later adapt to your organization’s technology stack.

Yes. The modeling and forecasting frameworks are designed to be flexible and work for listed firms, private companies, and portfolio businesses. Differences such as disclosure depth, market data availability, and capital structure are handled through the choice of inputs and scenarios, not through different modeling logic.

Customize Training Duration

The standard duration for Financial Analysis, Modeling and Forecasting Training is 5 Days. The options below are alternative durations with adjusted pricing.

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