Introduction
The programme “Smart Financial Systems (FinTech Systems)” develops professional practice in Information Systems. It connects the subject with workplace challenges by examining existing evidence and practices and choosing methods appropriate to the organization and its available resources.
The learning progresses from financial statement and report analysis to data analysis and decision support, with practical work on banking service and operations management, designing digital transformation and developing services, information systems analysis, integration, and service management. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Interpret performance, financial position, and cash flows using documented analysis with clear limitations in an application related to “Smart Financial Systems (FinTech Systems)”.
- Analyze a banking process and connect service quality to operational risks and controls.
- Assess digitization opportunities and define implementation requirements that improve a service or process.
- Analyze information system requirements and design acceptance, integration, and operational criteria.
- Turn available data into documented analysis that supports a specific professional decision.
Learning areas
1. Financial Statement and Report Analysis
- Read the relationships between the statements of financial position, performance, and cash flows and the notes, identifying the effects of accounting policies and estimates.
- Perform horizontal and vertical analysis and compare profitability, liquidity, efficiency, and leverage indicators, considering the nature and size of the business.
- Examine earnings quality, cash flows, and nonrecurring items, and identify differences between accounting results and actual liquidity.
- Test the sensitivity of results to changes in sales, costs, collections, and financing, stating the assumptions and constraints in each scenario.
- Write a financial report linking indicators to management's question and available alternatives, presenting risks and additional data needed for the decision. The application examines a case related to “Smart Financial Systems (FinTech Systems)”.
2. Banking Service and Operations Management
- Define the customer journey, banking product, and service delivery points, distinguishing front-office service, processing, and control.
- Analyze relationship opening, verification, documentation, and authority requirements, referring to applicable local regulatory instructions.
- Review the risks of errors, delays, fraud, and service disruption, linking them to preventive and detective controls and clear responsibilities.
- Design an operational improvement balancing service speed, customer data protection, financial control, and compliance.
- Select indicators for time, accuracy, complaints, and continuity, and prepare a scenario for addressing a failure and evaluating the responses of the parties involved.
3. Designing Digital Transformation and Developing Services
- Distinguish information digitization, step automation, and business model transformation, and identify the problem targeted by the digital intervention.
- Map the beneficiary journey, touchpoints, and repeated data requests, and identify opportunities for simplification before selecting technology.
- Analyze readiness across procedures, skills, data, and technical infrastructure, and document gaps and dependencies on existing systems.
- Specify solution, integration, access permission, usability, and accessibility requirements, and establish testable acceptance criteria.
- Design a limited-scope pilot with indicators for time, quality, and use, and define conditions for continuing, adjusting, or stopping.
4. Information Systems Analysis, Integration, and Service Management
- Analyze system users, processes, and the decisions it supports, translating needs into clear functional and nonfunctional requirements.
- Model data flows, entities, relationships, and interfaces, identifying each data item's source and the party responsible for its quality and updating.
- Compare build, buy, integration, and hosting alternatives according to constraints, security, total cost, and available support capabilities.
- Design test cases covering performance, permissions, usability, and integration, and connect each test to a testable acceptance criterion.
- Prepare a transition, operations, support, change management, and backup plan, defining indicators for service availability, fault resolution, and improvement review.
5. Data Analysis and Decision Support
- Frame an analytical question linked to a specific decision, and define the unit of measurement, time period, and data needed to answer it.
- Check data quality for completeness, accuracy, consistency, and duplication, and document cleaning steps and limitations on reliance.
- Select appropriate comparisons, indicators, and charts, and distinguish statistical correlation from causal explanations of results.
- Interpret results in the work context, test assumptions and unusual values, and present alternatives and their associated uncertainty.
- Prepare an analytical report containing the finding, recommendation, data source and date, review owner, and next follow-up step.
Practical outputs
- A comparative financial analysis report and a memo of findings and assumptions.
- A banking process map, control matrix, and service quality indicators.
- A digital transformation roadmap covering the beneficiary journey and implementation requirements.
- A requirements document, data flow map, and testing and acceptance plan.
- A dashboard and decision memo explaining the data, assumptions, and alternatives.
Who should attend
- Practitioners, specialists and supervisors whose work relates to the programme subject.
- Managers and teams working in information systems, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “Smart Financial Systems (FinTech Systems)” within their organizations.
Prerequisites
- Working familiarity with the programme field and the ability to discuss a professional case or challenge.
- Confirm the suitability of your experience and any specialist prerequisites with the Union before participation.
Conclusion
The programme “Smart Financial Systems (FinTech Systems)” brings together concepts, case review and a practical application. Participants prepare steps that can be adapted to their responsibilities and organizational resources, with an indicator to follow application and review results after returning to work.
Participation arrangements and any special requests are specified in the confirmation issued by the Union.