Develop and test Straight-Through-Processing for equity derivatives, including automation of manual workflow performed by sales & trading.
Improve fitting methodologies and models used to price equities products.
Enhance backtesting logic of derivatives quotes and simulations of trading strategies;
Develop and maintain tools to inform pricing, hedging and trading decisions, including application of filters & conditions based on derived analytics;
Liaise regularly within trading to understand requirements and iterate on existing infrastructure;
Data mining across potentially large sets across equity derivatives and cash products to understand and predict market and client behaviours;
Generation of signals based on above data and analytics.
Requirements
Academic background at undergraduate or graduate level in a quantitative subject (Physics, Engineering, Statistics, Mathematics, Computer Science or other analytical background);
Strong programming skills in Python, C++ and/or q/kdb.
Good problem-solving skills and pragmatic approach;
Good interpersonal skills with the ability to present complex ideas clearly;
Previous experience of derivatives product and market structure strongly desired, but not a pre-requisite.
Experience of implementing and managing production systems and knowledge of underlying infrastructures beneficial.