Machine learning uses advanced computer science models, data mining and pattern recognition combined with Natural Language Processing (NLP) to predict future outcomes. This technique is best used when applied to the most complex data challenges that require real-time calculations and where a large volume of historical and real-time data can help the model to learn and become increasingly accurate over time.

Synechron’s Machine Learning solutions allow financial services firms to address some of the most complex liquidity, pricing and risk challenges facing financial institutions today. Firms can:

• Streamline complex intraday liquidity calculations
• Automate data collection and analysis
• Enhance liquidity and collateral management processes
• Address intraday and LCR reporting requirements and improve ALM desk liquidity management

PREDICT FUTURE OUTCOMES
Applying Synechron’s Machine Learning solutions, to business processes enables firms to:

• Increase efficiency, turnaround time and accuracy on data modeling and calculations
• Improve quality, reliability and speed in deriving liquidity numbers
• Move to intraday liquidity calculations and toward intraday LCR reporting
• Optimize liquidity to minimize underwriting
• Improve predictability and reliability of liquidity, finance and treasury data required under Basel III and IFRS 9
• Reduce FTE operations cost
• Enhance regulatory reporting and related operations
• Create a reliable price for illiquid OTC instruments to support trading strategies and collateral management