Mayank Mishra
About Mayank Mishra
Mayank Mishra is a Cadis Developer with extensive experience in financial instruments and data analysis. He has worked for notable companies such as HSBC, APG, and Aviva Investors, and possesses expertise in various database environments and analytical processes.
Work at HSBC
Mayank Mishra has been employed at HSBC as a Cadis Developer since 2013. His role involves utilizing his expertise in financial instruments and data management to support the bank's operations in Scotland. Over his tenure of 11 years, he has contributed to various projects that enhance data processing and analytics within the organization.
Education and Expertise
Mayank studied Information Technology at Rajiv Gandhi Prodyogiki Vishwavidyalaya, where he earned a Bachelor of Engineering (BE) degree from 2001 to 2004. His educational background laid the foundation for his extensive expertise in environments such as Oracle10g/11g, SQL Server 2008/2005, and Sybase. He possesses specialized knowledge in financial instruments including equities, derivatives, OTC, commodities, FX, and P&L.
Professional Background
Mayank has a diverse professional background with experience in various roles across multiple organizations. He worked as a Developer at Aviva Investors in London from 2009 to 2010 and served as a Technical Support Analyst at Prudential Assurance in London from 2011 to 2012. Additionally, he held positions at Tech Mahindra as an Application Support Analyst and Tata Consultancy Services as a Database Developer in India.
Technical Skills and Tools
Mayank possesses proficiency in analytical business processes such as ETL, ITIL, data analysis, data modeling, and data mapping. He is skilled in using third-party tools including Cadis (V8.5), Thinkfolio, and Qlikview. His experience extends to scheduling tools like IBM MQ and Unix crons, as well as grid computing technologies such as MS HPC Grid and IBM Platform Symphony.
Market Data Experience
Mayank has extensive experience in handling market data from various sources, including Bloomberg, SuperD, Markit, and Rimes. This experience has equipped him with the ability to manage and analyze complex data sets, which is essential in the financial services sector.