Data

Cloud-Powered Reconciliation: Transforming Investment Banking with Accuracy & Compliance

In the fast-paced world of capital markets, maintaining the accuracy, consistency, and reliability of financial data is paramount. Cloud-powered reconciliation applications have emerged as a game-changer in investment banking, offering automated, scalable, and intelligent solutions to tackle challenges such as data mismatches, pricing errors, and regulatory compliance.

By seamlessly integrating diverse financial data sources, these applications enhance operational efficiency, accelerate issue resolution, and support data-driven decision-making. Automation reduces manual intervention by up to 75%, significantly decreasing errors and improving reconciliation accuracy by 30%. Additionally, early detection and resolution of trade mismatches and position discrepancies ensure adherence to stringent reporting and compliance standards.

Leveraging the scalability and elasticity of cloud platforms, these solutions can process millions of transactions daily while adapting to market fluctuations and regulatory changes. Furthermore, automation-driven efficiencies cut operational costs by 40%, allowing firms to allocate resources strategically while meeting demanding financial reporting deadlines.

This session will explore the architecture, capabilities, and real-world impact of cloud-based reconciliation systems, showcasing industry benchmarks and success stories. Attendees will gain actionable insights into harnessing cloud technologies to enhance financial accuracy, mitigate risks, and drive business growth in the investment banking sector.

20 Mar

11:50 am

-

12:00 pm PST

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Speaker
Jaya Krishna Vemuri

Jaya Krishna Vemuri is a seasoned IT professional with over 14 years of experience specializing in investment banking, cloud-based data warehousing, and reconciliation applications. He has played a pivotal role in designing and deploying high-volume, high-performance financial platforms leveraging advanced technologies such as Snowflake, Azure, Oracle, and AWS. His expertise includes delivering solutions that ensure data accuracy, quality, and regulatory compliance in the highly complex and secure environment of capital markets. Currently serving as Vice President at State Street Bank and Trust Company, Jaya Krishna leads transformative projects like Front Office Data Control (FODC) and IMS Middle Office Conversion, where he has implemented cutting-edge frameworks for continuous data integration and reconciliation. His work has streamlined operations by automating data ingestion, reconciliation, and reporting processes, achieving up to a 40% reduction in operational costs and improving data quality metrics by 30%. Jaya Krishna's technical acumen extends to developing scalable cloud-native architectures with advanced features such as Snowflake Streams, Azure Data Bricks, and DBT, enabling seamless integration across global financial systems. His contributions to data warehousing platforms have facilitated real-time analytics and decision-making, enhancing the performance of middle and back-office applications. A recognized leader in the industry, Jaya Krishna is Snowflake SnowPro certified and an AWS Certified Cloud Practitioner. He is a subject matter expert in investment accounting products, including PAM (Portfolio Asset Management), GLS (General Ledger System), and StatPro. His innovative approaches to cloud computing and financial data systems have positioned him as a key driver of digital transformation in the investment banking domain.

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