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Quantitative & Algorithmic Trading

 

We provide custom solutions in Financial Engineering, Quantitative Algorithmic Trading Systems and Financial Systems.
We utilize the power of sophisticated quantitative techniques and cutting edge information technologies and have the flexibility to engage with our clients at any point during the project lifecycle starting from Strategy Analysis,  Model Development, Model enhancement/ testing/validation, Software Development and Implementation up to Data Analytics.
 

We provide financial engineering solutions in the areas of:


-Risk Analysis
-Pricing and Valuation
-Trading and Hedging
-Financial Derivatives 
-Financial models 
-Fixed Income modeling
-Simulation Analysis 
-Statistical Methods for Finance 
-Stochastic Calculus for Applications 
-Value-At-Risk

 

Our technology consulting and Outsourcing team is made up of Business Analysts, Architects, User Interface Designers, Software Analysts, Developers, Testers and Support Specialists. We provide a full suite of services for development of custom built applications and financial trading systems software projects. We can work with our customers in a number of ways, including New application development projects, Application reengineering & enhancement projects, Product development &maintenance, Onsite consulting services and Offshore development projects. OurTechnology Skills cover all the widely used and prevalent platforms as follows: 

Programming Languages & Technologies : 
Java, JSP, EJB, Servlets, Java Beans, VB, ASP, VBA, C#, ASP.NET, VB.NET ,XML, XSL, WSDL, SOAP, UDDI , C/C++, COBOL , SQL, JDBC 

Statistical Modeling Packages :
MATLAB, SPSS , SAS 

Development Methodology :
Unified Modeling Language, Rational Unified Process 
 
Databases :
Oracle, MS SQL Server 200x, Sybase , MySQL , MS Access   

Design & Testing Tools :
Rational Rose, Visio, Load Runner 

Application Servers : 
IBM WebSphere, BEA WebLogic, JBoss, Tomcat, Resin, MTS

 

We guarantee the security and the confidentiality of information provided by clients.

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