Skip to content

Corporate and Investment Banking

Corporate and Investment Banking

Introduction

Maintainer: regardt_jacobs@bmc.com

Use Case Overview

Financial institutions managing high-frequency trading and security operations must integrate various platforms to ensure efficiency, compliance, and security. Control-M enables seamless orchestration of trade workflows, providing end-to-end visibility across trade execution, risk management, reporting, and compliance.

This use case demonstrates how Control-M orchestrates trade and security operations, starting from trade initiation in Ion Trading to risk analysis in Murex, data processing for algorithmic trading, machine learning analytics, and final reporting. The process ensures that stock trading, compliance, and reporting activities run efficiently while maintaining regulatory governance.

Use Case Technical Explanation

Trade Initiation in Ion Trading

  1. A trade request is initiated in Ion Trading.The trade request is sent to the trader while simultaneously logging data in Reports.

Trade Processing & Publication

  1. Trade data is published to Bloomberg and other trading platforms for market-wide availability. Trade details are sent to Murex for risk simulation, P&L calculations, and compliance reporting. Risk Analysis & Data Replication

  2. Murex performs risk simulations, P&L computations, and generates compliance reports. Processed trade data is stored and replicated for further analytics. Algorithmic Trading & Market Analysis

  3. Data undergoes advanced processing for pricing, risk management, and machine learning analytics. Algorithmic trading teams analyze market data, stock pricing, positions, ratios, and curves. Machine Learning & Big Data Processing

  4. Big Data & High-Performance Computing (HPC) executes ML model training and sensitivity analysis. Processed outputs are fed back into Reports & Models for further insights. Report Consolidation & Business Intelligence

  5. Trade and security reports generated at different stages are consolidated for business intelligence. Insights derived from reports support decision-making and trading strategies. Continuous Trade Cycle Execution

  6. New trade requests enter the workflow, ensuring continuous and automated trade processing. Control-M provides full visibility and control over the workflow execution.

To view the demo flow code-base, and all artifacts, please navigate to the Corporate and Investment Banking Git Repository

Job Types Included

  • Control-M OS
  • Control-M for Tableau
  • Control-M for Azure Machine Learning
  • Control-M Databases
  • Control-M for Microsoft Power BI
  • Contorl-M for Hadoop
  • Control-M SLA Management

Demo Environment Information

EnvironmentStatusFolder
Helix ProductionComing soon!
Helix Pre-ProductionAvailable<zzz-C&IB-Trading>
VSE CTM PRODComing soon!
VSE CTM QAAvailable<zzz-C&IB-Trading>