Securities, Stocks, and Trades

Introduction

Maintainer: regardt_jacob@bmc.com

Securities and stock trades are vital for the profitability, risk management, and client services of BFSI organizations. Efficient and accurate trade processing is critical for ensuring compliance, operational efficiency, and competitive advantage. Control-M is essential in this context as it automates, orchestrates, and monitors the complex workflows involved in trading, ensuring that BFSI organizations can execute trades efficiently, meet regulatory requirements, and scale operations securely.

Use Case Overview

By integrating the critical platforms; Order Management Systems (OMS), Execution Management Systems (EMS), and Market data, with Control-M, organizations can achieve streamlined, efficient, and compliant trade and security operations. Control-M provides end-to-end visibility and control over the entire workflow, allowing for job scheduling, monitoring, and management. This unified environment enables the organization to respond quickly to market and trading changes while maintaining control, governance, and auditing capabilities.

Control-M also supports predictive analytics and forecasting, allowing organizations to understand the potential impact of issues before they occur and plan accordingly. Intelligent compliance, customizable standards, and reporting ensure that the organization stays ahead of regulatory requirements while optimizing performance.

The Consensus Recording for this use case can be found here: Watch this video!

Use Case Technical Explanation

Control-M orchestrates the stock trade data workflow by automating and managing various critical steps within a financial institution’s data processing pipeline. Here’s an outline of how the workflow operates:

Data Ingestion:
- Trade execution and market data are collected from various sources, such as Order Management Systems (OMS) like Bloomberg and Execution Management Systems (EMS) like TORS. This data is transferred from the respective landing zones into a combined data repository, ensuring it is ready for validation and processing.
Data Validation and Transformation:
- After ingestion, the combined data undergoes validation and transformation. Control-M orchestrates these processes by triggering jobs to clean and ensure the accuracy and consistency of the data before further processing. This ensures that any errors or anomalies are addressed early in the pipeline.
Data Aggregation and Reconciliation:
- The transformed data is aggregated and reconciled with internal records and market data. These processes take place on cloud-based platforms, such as Azure Databricks, and are managed via Control-M to ensure accurate and consistent data preparation for analytics.
Analytics and Reporting:
- Once the data is prepared, Control-M orchestrates the trade data analytics using services like Azure Synapse. This stage involves processing the data to generate insights, which are then used to create performance and compliance reports. Control-M triggers Microsoft Power BI to visualize these reports for business users, providing an observability layer around trade distribution and performance.
Service Level Agreement (SLA) Management:
- Control-M also ensures that the entire workflow adheres to SLAs by monitoring each step in the pipeline. If any deviations occur, Control-M automatically adjusts processes to meet defined performance standards, thereby improving operational efficiency.
Real-Time Monitoring and Error Handling:
- Throughout the workflow, Control-M’s real-time monitoring features help detect and resolve errors, ensuring seamless execution and timely delivery of data. Control-M automates error handling processes, such as retry mechanisms and escalation, to maintain workflow integrity.

By automating these tasks, Control-M streamlines the entire stock trade data workflow, enhancing data quality, regulatory compliance, and operational efficiency.

To view the demo flow code-base, and all artifacts, please navigate to the Securities, Stocks, and Trades Git Repository

Job Types Included

Control-M OS
Control-M Managed File Transfer
Control-M Databases
Control-M for Azure Data Factory
Control-M for Azure Databricks
Control-M for Azure Synapse
Control-M for Microsoft PowerBI
Control-M SLA Management

Demo Environment Information

Environment	Status	Folder
Helix Production	Available	zzz-stock-trade-data
Helix Pre-Production	Available	zzz-stock-trade-data
VSE CTM PROD	Available	zzz-stock-trade-data
VSE CTM QA	Available	zzz-stock-trade-data