About

Manindar Singh is a highly skilled software professional with over 12 years of experience in designing, developing, and implementing applications for the banking and financial domain. He has expertise in object-oriented programming in C++, with good knowledge of debugging and SCM tools under Unix environment. He is also familiar with C++ multithreading and socket programming. Manindar has extensive experience in low latency programming on Windows, AIX, UNIX, and Solaris, with proficiency in C++11, C++14, and C++17. He is well-versed in using databases such as KDB, MSSQL, MongoDB, and Oracle 12.0/11 g, and tools like Rational ClearCase, Rational Purify, Sun Studio, DBX, and BMC Remedy. He is also skilled in using libraries such as STL, Rogue Wave, POCO, Boost, and Google Protobuf, and Unix shell scripting. Currently, Manindar is working as an Assistant Vice President at JP Morgan, where he is part of the MGG eTrading team. In his previous role at Citibank, he worked as an Assistant Vice President, designing and implementing a high-frequency trading platform, optimizing it using network and systems programming to minimize latency, and developing systems that provide easy access to historical market data and trading simulations. He also created tools to analyze data for patterns and built risk-management and performance-tracking tools. Prior to Citibank, Manindar worked as a Technology Specialist at Cassiopae, where he was responsible for integrating and providing flexibility and service for auto finance and fleet management software. He managed front-to-back processes for vehicle finance and contract hire, streamlining daily rental and vehicle booking processes and tasks. Manindar holds a Bachelor of Engineering degree in Computer Science from the University of Jammu, completed in 2010. His tech stack includes C++, MSSQL, MongoDB, Python, C, AWS, integration, mobile, UI, senior software engineer, and infra. With his rich experience and diverse skill set, Manindar is a valuable asset to any team in the banking and financial domain.