Financial Technology for Finance Professionals Training Course

Duration 5 days 11 modules · 33 contact hours
Level Intermediate Certificate on completion
Who attends Finance Managers, Financial Controllers and others
Fee from USD 1,100 KSh 95,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-FT-045

Before you join: Participants should understand core finance or accounting processes, including general ledger postings, reconciliations, cash management, financial controls or financial reporting.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Finance teams are being asked to assess and control technologies that change how money moves, data is shared, transactions are recorded and risks are monitored. Payment platforms, open banking interfaces, cloud accounting applications, automated controls and AI tools can reduce manual effort and improve decision quality, but they also introduce new dependencies, data risks, accounting questions and regulatory obligations. Finance professionals need enough technical and commercial knowledge to challenge proposals, work productively with technology teams and make sound investment decisions.

This course examines the FinTech models most relevant to finance and accounting functions. Participants analyse payment rails, ISO 20022 messaging, open banking APIs, digital assets, automation, AI, cloud services, cybersecurity and RegTech. They connect these subjects to core finance responsibilities including reconciliation, close automation, cash forecasting, financial control, reporting, vendor due diligence and benefits measurement. The course also addresses how to assess a FinTech business case, select providers, define control requirements and govern implementation.

Teaching combines focused instructor briefings with banking, corporate treasury, payment, accounting and financial-services cases. Participants use practical frameworks to map transaction flows, assess risks, evaluate vendors and structure technology proposals. Group work and simulations examine realistic decisions such as implementing real-time payments, automating reconciliations or approving an AI-enabled finance process. Each participant leaves with a reusable FinTech assessment pack containing process, control, risk, business-case and implementation-planning materials, supported by a certificate of completion.

The course is designed for finance, accounting, treasury, risk, audit and operations professionals who work with financial technology projects or need to evaluate their impact on financial processes and controls.

What you will be able to do

  • Assess FinTech operating models using unit economics, risk allocation and regulatory perimeter analysis
  • Map payment transaction flows from authorisation through settlement and general ledger posting
  • Evaluate open banking APIs, data-sharing arrangements and embedded finance revenue models
  • Apply control requirements to AI, robotic process automation and cloud-based finance processes
  • Analyse digital asset, blockchain and tokenisation use cases against finance, legal and liquidity risks
  • Design vendor due diligence criteria covering security, compliance, resilience and total cost of ownership
  • Build a FinTech business case using NPV, payback, sensitivity analysis and measurable benefits
  • Prepare a phased implementation plan with governance, controls, milestones and adoption measures

Benefits of attending

For you

  • Greater credibility when challenging FinTech vendors, technology teams and implementation proposals
  • Practical criteria for assessing payment, automation, AI and digital asset use cases
  • Stronger ability to connect technology choices with accounting, treasury and control requirements
  • Reusable methods for building financially credible FinTech investment cases
  • Clearer career positioning for finance transformation, digital finance and control roles

For your organisation

  • Better governed selection of payment, automation, AI and cloud finance providers
  • Earlier identification of data, cyber, regulatory and operational control gaps
  • More credible business cases with transparent costs, risks and measurable benefits
  • Improved reconciliation, cash forecasting and close-process automation decisions
  • Stronger collaboration between finance, technology, risk, compliance and procurement teams

Course modules

11 modules over 5 days

Participants can assess FinTech operating models and identify their implications for finance responsibilities and controls.

  • FinTech value chains, participants, revenue models and regulatory perimeters
  • Banking-as-a-service, embedded finance and platform economics compared for finance teams
  • Map a payment-to-ledger process using swimlane and data-flow diagrams
  • Distinguish regulated activities from technology services under licensing models
  • Assess FinTech business models through unit economics and risk allocation
  • Identify finance control points within digital customer and supplier journeys
  • Classify market infrastructure, intermediaries, providers and users in transaction flows

Participants can analyse payment methods, settlement flows, data requirements and associated finance controls.

  • Card, account-to-account and wallet payment rails compared by settlement finality
  • ISO 20022 message structures linked to remittance data and reconciliation
  • Trace authorisation, clearing, settlement and chargeback events through general ledger postings
  • Calculate merchant discount rates, interchange, scheme fees and payment margins
  • Real-time payment liquidity requirements measured using intraday cash positions
  • Tokenisation, encryption and PCI DSS roles in card-data protection
  • Reconciliation exception workflows for duplicate, reversed and failed transactions

Participants can evaluate API-enabled financial services, data-sharing arrangements and related accounting considerations.

  • Open banking consent, data access and payment initiation roles
  • API architecture: authentication, authorisation, endpoints, webhooks and version control
  • OAuth 2.0 and OpenID Connect applied to customer permissions
  • Reconcile API event data with bank statements and ledger entries
  • Assess API availability, latency and failure handling against service-level metrics
  • Embedded finance revenue recognition considerations for referral and principal arrangements
  • Data-sharing agreements covering purpose limitation, retention and accountability

Participants can assess blockchain and digital asset proposals using finance, control, liquidity and regulatory criteria.

  • Distributed ledger consensus mechanisms: proof-of-stake, permissioned validation and finality
  • Smart-contract control design, oracle risk and code-change governance
  • Differentiate cryptocurrencies, stablecoins, tokenised deposits and central bank digital currencies
  • Token custody models, key management and segregation of client assets
  • Blockchain settlement benefits tested against liquidity, legal and operational constraints
  • Account for cryptoassets using classification, impairment and disclosure considerations
  • Evaluate transaction traceability, privacy trade-offs and anti-money-laundering implications requirements

Participants can identify, assess and control AI and automation opportunities within finance processes.

  • Machine-learning lifecycle from training data to model monitoring
  • Generative AI use cases for variance analysis and reporting drafts
  • RPA candidates selected through volume, rules, exception rates and control risk
  • Design human-in-the-loop approvals for automated journal entries and payments
  • Model risk controls: validation, explainability, drift testing and audit trails
  • Anomaly detection methods applied to expense claims and duplicate invoices
  • Prompt governance, confidential-data handling and output verification requirements

Participants can evaluate cloud finance applications and specify essential cybersecurity and resilience controls.

  • Cloud service models and shared-responsibility control boundaries
  • Assess SaaS finance applications against availability, resilience and exit criteria
  • Identity and access management using least privilege and segregation of duties
  • Cyber fraud patterns: account takeover, business email compromise and deepfakes
  • NIST Cybersecurity Framework 2.0 functions mapped to finance controls
  • Incident response roles for payment, data breach and ransomware events
  • Third-party risk assessments covering subcontractors, data locations and recovery testing

Participants can assess technology-enabled compliance processes, alert controls and regulatory reporting data flows.

  • RegTech workflows for know-your-customer, sanctions screening and transaction monitoring
  • Risk-based anti-money-laundering customer due diligence and beneficial ownership checks
  • Configure alert thresholds, case evidence and escalation decision rules
  • Explain regulatory reporting data lineage from source system to submission
  • Privacy impact assessments for financial data collection and automated decisions
  • Model governance documentation for credit scoring and fraud detection systems
  • COSO principles applied to automated controls, exceptions and management review

Participants can identify FinTech applications that improve finance operations while maintaining accounting integrity and control.

  • Close-process automation opportunities across reconciliations, journals and intercompany matching
  • Continuous accounting controls using exception dashboards and workflow evidence
  • Cash forecasting models combining bank feeds, payment schedules and scenario drivers
  • Forecast liquidity under real-time payments, delayed settlements and funding constraints
  • Revenue recognition data requirements for usage-based and subscription billing
  • Finance data models linking operational events, subledgers and general ledgers
  • Measure automation value through cycle time, error rate and control metrics

Participants can prepare a structured business case and conduct finance-led provider due diligence.

  • Define problem statements, success metrics and boundary conditions before vendor selection
  • Build a FinTech business case using NPV, payback and sensitivity analysis
  • Vendor due diligence covering financial viability, security, compliance and implementation capacity
  • Score proposals with weighted criteria, evidence requirements and conflict safeguards
  • Contract service levels, audit rights, data ownership and termination assistance
  • Create total-cost-of-ownership models including integration, change and run costs
  • Sequence pilot gates using hypotheses, acceptance criteria and stop decisions

Participants can establish governance, process controls and adoption measures for FinTech implementation.

  • Stakeholder mapping for finance, technology, risk, legal and operations owners
  • Target operating models defining decision rights, workflows and control ownership
  • Process redesign using SIPOC, RACI and exception-path analysis
  • Data migration controls: completeness, accuracy, reconciliation and sign-off
  • Training plans tied to roles, new controls and adoption measures
  • Benefits realisation tracking against baselines, milestones and accountable owners
  • Post-implementation reviews testing outcomes, incidents and control performance

Participants can produce an evidence-based plan for applying a selected FinTech opportunity at work.

  • Prioritise FinTech opportunities using value, feasibility, risk and strategic-fit criteria
  • Translate a selected use case into process, data and control requirements
  • Set measurable KPIs for adoption, cost, service quality and risk
  • Establish governance cadence, escalation paths and decision-rights documentation
  • Plan phased implementation with dependencies, owners, milestones and contingency actions
  • Prepare an executive briefing using quantified benefits, risks and recommendations
  • Create a 90-day application plan for workplace implementation

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. FinTech operating-model assessment template
  2. Payment-to-ledger process mapping model
  3. AI and automation control checklist
  4. FinTech vendor due diligence scorecard
  5. Technology investment business-case template
  6. 90-day FinTech application plan

Who should attend

  • Finance Managers — assess technology investments, operating impacts and financial controls
  • Financial Controllers — govern automated processes, reconciliations and reporting data
  • Treasury Professionals — evaluate payment innovations, liquidity effects and bank connectivity
  • Internal Auditors — review technology-enabled controls, data flows and third-party risks
  • Risk and Compliance Managers — assess RegTech, cyber, privacy and financial-crime requirements
  • Finance Transformation Specialists — define requirements and manage FinTech implementation decisions

Skills and tools covered

FinTech evaluationPayment process mappingDigital control designVendor due diligenceFinancial technology governanceBusiness case analysis

Tools and standards

ISO 20022, NIST Cybersecurity Framework 2.0, COSO Internal Control Framework, RACI matrix

How the course runs

Training methodology

The course uses short instructor briefings to establish concepts, followed by sector-based cases from banking, corporate treasury, finance operations and regulated services. Participants work in groups to map transaction flows, analyse control failures, assess vendor proposals and test investment assumptions. Simulations examine payment exceptions, automated accounting workflows and technology governance decisions. Facilitated discussion connects each method to participants' own processes. The final sessions focus on application planning, allowing participants to define a realistic use case, decision path and next actions for their workplace.

Requirements and prerequisites

Participants should understand core finance or accounting processes, including general ledger postings, reconciliations, cash management, financial controls or financial reporting. Experience of working with finance systems, payment processes, banking relationships, audit, risk or transformation projects is useful. Participants should be comfortable reading simple process maps, discussing financial metrics and reviewing business cases. Programming, data science, cybersecurity certification, blockchain experience and prior API knowledge are not required. The course explains technical concepts in terms of financial processes, controls, risks and commercial decisions.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

You should understand core finance, accounting, treasury, audit, risk or operational processes. No programming, data science, API development or blockchain experience is required.

Bring examples of finance processes, technology proposals or control issues that you may need to assess. You do not need to bring confidential documents, system access or technical equipment beyond normal course materials.

It suits finance managers, controllers, treasury staff, auditors, risk and compliance specialists, and finance transformation professionals. It is particularly relevant to people who approve, assess, control or implement financial technology rather than build it.

This course examines technology through finance processes, financial controls, commercial assessment and implementation governance. It does not train participants to code applications, build APIs or develop blockchain protocols.

Participants can use the assessment, risk, vendor and business-case methods when reviewing payment platforms, automation proposals, cloud finance systems or AI-enabled workflows. The application plan helps translate course methods into a defined workplace action.

The five days provide about 32.5 contact hours, delivered from 08:30 to 16:30 each day. Time is divided across eleven modules covering FinTech concepts, payment and data flows, control design, business evaluation and implementation planning.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.

Ask on WhatsApp info@skillsetdevelopment.com

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