Role : Java Developer

Overall IT exp : 5 to 7 Years

Java experience : 3 to 6 Yrs

Skills : Java developers with various flavors used in Investment banking Java Technology

Deployment model : Work from Office / Hybrid

Location : Bangalore

Duration of contract : 12 months with extension to 24 months.

6+ years of experience in PI/PO/CPI

Should have minimum of 3+ years of implementation experience in CPI.

Should have worked on B2B integration with multiple EDI partners using Integration Advisor, Trading Partner Management

Should have Expertise in different adapters available in CPI like AS2, JMS, Idoc, OData, SFTP ,HTTPS etc.
Should have Expertise in creating Groovy Scripts, XSLT mapping and message mapping.
Should have Expertise in using all different pallet functions
Good to have worked with SuccessFactors integration
Excellent English communication – writing and speaking skills. 

Experience: 7-10 Yrs

Work mode: Hybrid Model atleast 3 days from office

Location: Chennai/Pune/Hyderabad

Notice Period : Immediate to 1 week max(No Negotiable Cases strictly Please).


Expertise in C/C++ Development 

Having 8 plus years of experience in developing and maintaining C++ applications. 

Software Development experience using C++ on Linux platform and Windows platform. 

Strong analytical, problem solving, troubleshooting and diagnostic skills Experience working with production support escalations. 

Extensive C++ debugging experience with gdb Experience with Visual Studio for developing and debugging C++ application on Windows environment Excellent communication skills. 

Excellent collaboration skills with team members, QA team and other parties to ensure high quality software Experience working in an Agile environment. 

Experience in C++ STL and Multithreaded programming. Knowledge of SQL, JSON and XML. 

Familiar with linux commands and shell scripting Familiar with development tools such as gcc, g++,cmake, gnu make, git Knowledge of PKI, SSL/TLS, OpenSSL Crypto libraries is a plus. 

Good knowledge of Red Hat Package Management, RPM, yum repositories.

Develop and implement algorithmic trading strategies using Python
– Back test and optimise trading strategies
– Monitor and manage live trading systems
– Work with other quantitative analysts and traders to develop and implement trading strategies
– Stay up-to-date on the latest developments in algorithmic trading
– Programming Skills
– Mathematical and Statistical Proficiency
– Quantitative Modelling
– Financial Markets Understanding
– Data Analysis and Visualisation
– Risk Management
– Quantitative Tools and Libraries
– Problem-Solving and Critical Thinking:
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