Forecasting and risk analytics systems
Forecasting and risk analytics systems
Risk forecasting and analytics systems are analytical platforms designed to build predictive models, identify hidden threats and support management decisions based on a deep assessment of risk factors. They allow the bank to move from reactive management to proactive, ensuring advanced identification of vulnerabilities and scenario planning.
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In a modern bank, effective risk management is impossible without predictive analytical tools. These systems use historical and current data, mathematical models, ML/AI algorithms and BI visualization to assess the probability of risks, their potential impact and generate recommendations to minimize the consequences.
Functionality:
- Building predictive models based on customer behavior data, portfolio dynamics, market indicators and internal events;
- Analysis of the probability of events (default, fraud, outflow, operational failures);
- Support for stress tests, scenario analysis, What-If modeling;
- Integration with BI systems, data warehouses (DWH), CDP, scoring platforms and CRM;
- Configuration of automatic alerts, triggers and visual dashboards;
- Data support Governance, model validation and calculation audit;
- Using open source and commercial frameworks (Python, SAS, R, SPSS, Power BI, etc.).
Who works with the system inside the bank:
- Risk management and analytics
- Data Science and ML teams
- Finance department
- IT and data architects
- Controlling, strategy, internal audit
System owners:
- Chief Risk Officer (CRO) - customer of analytics
- Chief Data Officer (CDO) - data and model management
- CIO/CTO - for the architecture and scalability of the platform
What strategic objectives do the proposed solutions solve
Provides management with access to predictive risk assessments at the portfolio, client, line of business or product level
This forms the basis for strategic and tactical decisions taking into account acceptable risks.
Provides the opportunity to formulate anticipatory measures - before problematic events occur
The bank moves from reactive response to proactive threat management.
Increases model transparency, reporting accuracy and response speed to external changes (market, regulator, macro factors)
Support for scenario planning and stress assessment at a new level of maturity.
Make working with documents simpler and faster
Who are the solutions suitable for?
Results after solution implementation
Improving the accuracy of risk assessment and reducing the level of unpredictable losses.
Acceleration of decision-making and increased trust from the board of directors and the regulator.
Increasing the maturity of the bank’s risk function and readiness to implement complex AI solutions.
Processes are optimized, routine operations are automated, and employees have more time for truly valuable tasks.
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IT partners
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FINEEO CS
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Fineeo — международная финтех-компания с более чем 17-летним опытом разработки решений для цифровой трансформации финансовых институтов. Мы специализируемся на создании гибких, масштабируемых и безопасных low-code платформ, которые помогают банкам, МФО, платёжным системам и другим финансовым организациям адаптироваться к современным требованиям рынка.
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BRB
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Biznes Rivoj Bansystems — инновационная компания, специализирующаяся на разработке IT-решений для финансового сектора. Мы автоматизируем бизнес-процессы, повышаем эффективность операций и помогаем банкам уверенно двигаться в будущее.
Лапы Хвост и Уши
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SAMARALI
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Разработка и внедрение инновационных IT-решений для бизнеса. Описание: Компания предоставляет услуги по разработке программного обеспечения, интеграции корпоративных систем и цифровой трансформации. Ключевые направления — автоматизация бизнес-процессов, внедрение CRM и ERP, создание веб- и мобильных приложений. Целевая аудитория — банки, розничные сети, логистические компании. Опыт работы с международными клиентами более 5 лет.
Trinity
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