About

Kathryn Kane is a software developer with a strong background in creating applications for algorithmic trading in Indian markets. With 3 years of experience in this field, Kathryn has developed a deep understanding of derivatives and has worked with financial data to back-test strategies using Amibroker. Currently working as a Developer - Algo Trading at Kotak Institutional Equities, Kathryn is a part of the development team responsible for creating production trading systems that receive real-time market data updates and send orders via broker APIs such as NEST, XTS, Zerodha, Upstox, Motilal Oswal & GDFL in Java & C# .net using REST APIs, Sockets and Web sockets. Prior to her current role, Kathryn worked as an Algorithmic Trading Developer at Arque Tech, where she gained experience working with REST APIs, Websockets & TCP Sockets Multithreaded Desktop Applications with real-time UI Updates, Python (Basics), and Amibroker AFL. She was responsible for analyzing client requirements, designing, coding implementation, and testing custom trading solutions for rule-based order placement in Indian stock markets. Kathryn also developed a good understanding of the black Scholes model for implied volatility and theoretical price, back testing & developing production systems for multi-leg option strategies. Kathryn holds a Bachelor of Science degree in Information Technology from St. Xavier's College, Mumbai, and completed her ICSE in Computer Applications from Maneckji Cooper Education Trust. Her tech stack includes Java, Software Engineering, UI, and Web. With 4.86 years of relevant experience, Kathryn has demonstrated her ability to collaborate effectively, analyze client requirements, and design and implement custom trading solutions for the Indian stock markets.