Altair Case Studies Global Bank Enhances Trading Efficiency with Altair Panopticon

	Global Bank Enhances Trading Efficiency with Altair Panopticon Altair

Global Bank Enhances Trading Efficiency with Altair Panopticon

Altair

Technology Category	Analytics & Modeling - Real Time Analytics Cybersecurity & Privacy - Security Compliance
Applicable Industries	Finance & Insurance Retail
Applicable Functions	Human Resources Quality Assurance
Use Cases	Personnel Tracking & Monitoring Real-Time Location System (RTLS)
Services	System Integration
Challenge	The client, a global bank with operations in over 60 countries, was facing challenges with its order management system (OMS) used for managing trade execution. The OMS provided some visibility into the trading workflow, but it lacked the ability to display aggregated information or make real-time comparisons between current activity and historical trading data. It also did not support filtering, which was crucial for traders to answer questions like the impact of new product offerings on business in specific markets. The OMS maintained multi-day open orders and data completed orders for a few weeks to allow rebooking, but it did not store and display large amounts of historical data that would enable traders to analyze trends and spot patterns in trading activity. Read More
About Customer	The client is a global bank that offers a full range of wealth management, retail banking, and commercial banking services. It operates in more than 60 countries, has over 200,000 employees, and manages assets of about $3 trillion. The bank's commercial banking services position it among the ten largest investment banks in the world. It provides both buy-side and sell-side services to individual and institutional clients. Its trading operations deal in equities, credit, rates, currency, commodities, and their derivatives. Read More
Solution	The bank decided to incorporate Altair Panopticon, a real-time streaming analytics tool, into its trading infrastructure after learning about its capabilities from colleagues at other major financial services firms. A proof of concept (PoC) was implemented, involving several of the bank’s senior IT leaders and a group of senior traders and risk officers. The bank had previously implemented Kx kdb+, a specialized in-memory columnar database for handling time series data. Recognizing that Panopticon supports excellent integration with kdb-based data warehouses, the bank leveraged this capability to transition from a successful PoC to full implementation within 30 days. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Cybersecurity & Privacy - Security Compliance

Applicable Industries

Finance & Insurance

Retail

Applicable Functions

Human Resources

Quality Assurance

Use Cases

Personnel Tracking & Monitoring

Real-Time Location System (RTLS)

Services

System Integration

Challenge

The client, a global bank with operations in over 60 countries, was facing challenges with its order management system (OMS) used for managing trade execution. The OMS provided some visibility into the trading workflow, but it lacked the ability to display aggregated information or make real-time comparisons between current activity and historical trading data. It also did not support filtering, which was crucial for traders to answer questions like the impact of new product offerings on business in specific markets. The OMS maintained multi-day open orders and data completed orders for a few weeks to allow rebooking, but it did not store and display large amounts of historical data that would enable traders to analyze trends and spot patterns in trading activity.

About Customer

The client is a global bank that offers a full range of wealth management, retail banking, and commercial banking services. It operates in more than 60 countries, has over 200,000 employees, and manages assets of about $3 trillion. The bank's commercial banking services position it among the ten largest investment banks in the world. It provides both buy-side and sell-side services to individual and institutional clients. Its trading operations deal in equities, credit, rates, currency, commodities, and their derivatives.

Solution

The bank decided to incorporate Altair Panopticon, a real-time streaming analytics tool, into its trading infrastructure after learning about its capabilities from colleagues at other major financial services firms. A proof of concept (PoC) was implemented, involving several of the bank’s senior IT leaders and a group of senior traders and risk officers. The bank had previously implemented Kx kdb+, a specialized in-memory columnar database for handling time series data. Recognizing that Panopticon supports excellent integration with kdb-based data warehouses, the bank leveraged this capability to transition from a successful PoC to full implementation within 30 days.

Impact #1	With the implementation of Altair Panopticon, the bank's trading, regulatory compliance, compliance surveillance, and middle office operations personnel can now use Panopticon dashboards throughout the day to monitor and analyze trading activity, client flow, risk, and profitability. They no longer need to wait for end-of-day reports to adjust their trading strategies or select different execution venues. Users can aggregate historical data for any period and perform on-the-fly comparisons between real-time trading activity and historical activity by trader, desk, asset type, and client. This helps to identify outliers and anomalies that may indicate new trading opportunities or profitability threats. Users can also export filtered subsets of data to spreadsheet programs or PDFs for presentations and post-trade reports. Traders and risk officers can build and modify their dashboards as needed without IT personnel assistance, reducing the support resources needed and the time it takes to respond to fast-changing market conditions.

Impact #1

With the implementation of Altair Panopticon, the bank's trading, regulatory compliance, compliance surveillance, and middle office operations personnel can now use Panopticon dashboards throughout the day to monitor and analyze trading activity, client flow, risk, and profitability. They no longer need to wait for end-of-day reports to adjust their trading strategies or select different execution venues. Users can aggregate historical data for any period and perform on-the-fly comparisons between real-time trading activity and historical activity by trader, desk, asset type, and client. This helps to identify outliers and anomalies that may indicate new trading opportunities or profitability threats. Users can also export filtered subsets of data to spreadsheet programs or PDFs for presentations and post-trade reports. Traders and risk officers can build and modify their dashboards as needed without IT personnel assistance, reducing the support resources needed and the time it takes to respond to fast-changing market conditions.

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Overview

Global Bank Enhances Trading Efficiency with Altair Panopticon

Operational Impact