RisingWave's real-time data platform empowers financial services to analyze transactions as they occur, enabling proactive risk management, compliance monitoring, and innovative product development - giving customers in the financial sector a critical competitive edge.

Real-time fraud detection is essential for protecting businesses from financial losses. Modern systems analyze data from multiple sources to identify suspicious activities across various fraud types, including payment fraud and identity theft.

These systems use machine learning to detect unusual patterns by comparing incoming transactions against customer baselines. When anomalies are detected, alerts are instantly triggered, enabling rapid response to potential fraudulent activities.

Effective fraud detection relies on real-time data processing. This allows financial institutions to instantly ingest and analyze transaction data, quickly recognize patterns, detect anomalies, and respond immediately to suspicious activities.

RisingWave serves as the foundation for this real-time data processing in fraud detection systems. It rapidly ingests and transforms data from multiple sources. Financial institutions can define pattern recognition and alerting logic using Python or Java. RisingWave's integration with machine learning models ensures that both pattern recognition and ML models remain current.

Trading firms are moving towards evaluating risks after each transaction, rather than only at the end of the trading day. This approach requires low-latency data processing.

RisingWave supports this by:

1. Processing market data in real-time

2. Using SQL for risk calculation logic

3. Enabling intraday risk analysis

A risk management system built on RisingWave can monitor market prices and portfolio changes continuously. It calculates risk based on current data, helping firms respond to market movements more quickly.

As a unified real-time data platform, RisingWave empowers financial institutions to continuously monitor their activities and report to regulatory bodies instantaneously. This allows for immediate submission of financial data, reducing the time between data generation and regulatory oversight.

RisingWave can break down data silos by integrating data from various sources, such as market data feeds and transactions, in real-time. This provides a more comprehensive view of the institution's activities, which is crucial for compliance.

RisingWave transforms portfolio management through its real-time data processing and analytics capabilities. It enables continuous monitoring of portfolios, providing instant updates on PnL, exposure, limits, and compliance.

By aggregating data from diverse sources - including portfolio valuations, customer information, security references, and benchmark performance - RisingWave offers a comprehensive view across various asset classes, geographies, and legal entities. This holistic perspective empowers portfolio managers to make well-informed decisions.

The real-time nature of RisingWave allows for swift portfolio optimization. Managers can quickly adjust asset allocations, rebalance portfolios, and refine hedging strategies in response to market dynamics. This agility helps capitalize on emerging opportunities while mitigating potential risks.

Furthermore, RisingWave's advanced analytics support the identification of high-value investment products and enhance overall risk management. By leveraging current market data and portfolio performance metrics, managers can make more precise and timely investment choices, staying responsive to the ever-changing financial landscape.

Ready to give it a try?

Try Now >

Request a demo