Fixed Income Trading Platform Architecture
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1 Fixed Income Trading Platform Architecture Khader Vali Shaik Note: Design of hypothetical system for educational purpose
2 Architecture Diagram 2
3 Technical Requirements of Trading Platform Performance Scalability Fault Tolerance Reliability/Stability Security Modular (options to use selected components) Open Architecture (support for extensions) Open APIs Easy Integration 3
4 Functional Requirements of Trading System Trade Capture Market Access (D2D, D2C, Market Data) Pricing Risk & Portfolio Analytics Position Management (Blotter) Easy Integration with middle and backoffice systems 4
5 Popular FI Products Government Bonds Strips Corporate Bonds Floaters Inflation Linked Bonds Multi-step bonds Futures Bond Options Futures Options Swaptions Caps and Floors Emerging Markets etc 5
6 Front End Users Traders Risk Management Group Operations Support Applications Trade Capture Quote Entry Risk Analytics Operations etc. Technologies Excel + Vendor Libraries C++ Java C# (latest development) Platforms Windows Unix (X-Windows) 6
7 Application Servers Application Servers Pricing Engine, Risk/Analytics Engine, Position Management, Market Data Server etc Technologies High Performance Architecture Java (Core Java) C++/C# Communication Software (TIBCO EMS, SOAP etc) Vendor APIs (if any vendor products used) 7
8 Database Popular Database Servers Sybase Oracle MS SQL Server etc 8
9 Multi-tier Architecture Communication Protocols Synchronous TCP/IP etc Asynchronous Messaging Messaging Publish/Subscribe Point-to-point MQ, Tibco and vendor products Java JMS, RMI, Sockets, WebServices etc.net Remoting, WebServices etc 9
10 Design Considerations Scalable and Powerful platform Processing Power complex calculations Pricing Analytics Risk Calculations P&L Calculations etc 10
11 Backoffice Usually different from Trading Systems Settlement Accounting & Finance Regulations/Compliance Usually External Service Providers Custodian Houses Many vendor software products available 11
12 Technology Team Front-end Developers GUI developers with reasonable understanding of the products, fundamentals of Fixed Income mathematics Pricing Engine Back-end developers Core language expertise (VBA, Java, C++, multithreading, data structures, performance etc) In-depth knowledge of Product Evaluation methods Financial Mathematics/Mathematics educational background Ph.D, MS in Math and Finance, or some certifications in finance etc. 12
13 Technology Team cont.. Risk Engine Complex APIs and Application Server Advanced Math Degree Advanced Finance Education, Ph.D, CFA etc Usually available in the form of APIs or Vendor product Other Technical Skill Platform skill Unix scripting, architecture, performance etc 13
14 Technology Team cont.. QA / Testing Good understanding of Markets and Products Excel/VBA Good understanding of Trading Knowledge of Risk Measures etc Support Team Provide day to day system support Troubleshooting Platform Knowledge (Unix scripting, excel, VBA etc) Good business knowledge Good Communication Skills etc. 14
15 Quant Quantitative Analysts Financial Engineers Role Developing Pricing Models, Risk Models, Trading Strategies, etc Assisting Traders in Trading Strategy development and testing Build and Perform Regression tests, Stress tests etc 15
16 Vendor Trading Platforms Popular FI Trading Systems Bloomberg Professional Reuters Trading for Fixed Income Thomson TradeWeb and many more Key Features Provide most of the basic features Connectivity with Liquidity Sources Algorithms of Analytics Risk Measures Support of complex products STP (Straight Through processing) support etc 16
17 Bloomberg/Reuters Trading Systems Full Service Trading Platforms Trade Entry Market Data Risk and Portfolio Analytics etc Connectivity Liquidation Sources (ECNs etc) Other Broker/Dealers (Dealer-to-Dealer D2D) Large Clients (Dealer-to-Client D2C) 17
18 Thank You Khader Vali Shaik 18
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