A leading corporate banking and capital markets organisation is seeking an eFX Quant Researcher/Trader to join their team in London.
Main Purpose of the Role: To apply statistical methods to extract informational value from trade flow in order to optimize the pricing and liquidity to a diverse set of FX end users To research, test and implement quantitative price discovery and trading strategies for an electronic FX market making business To help grow the profitability of the business and client satisfaction through the quantitative analysis of proprietary data To risk manage the trading flow via the trading algorithms during Asian trading hours Key Activities: Research new methods for systematically optimizing delivery of pricing and liquidity to clients Research new market making pricing strategies Research new risk management algorithms designed to efficiently and profitably control inventory levels generated from client flow Use market data from various trading venues as well as proprietary information to design and backtest systematic trading signals Coordinate with IT to bring new systematic trading strategies to production Stay up to date with the latest research on algorithmic trading Responsible for managing the global trading books during Asian hours, ensuring compliance with risk profiles and risk limits Identify client patterns and translate into strategic proposals to maximize the success of the global franchise Respond to sales/client queries in a timely and transparent fashion Specialist Knowledge: Experience in applying quantitative techniques to optimise an electronic market making business Strong background in statistics and statistical programming Knowledge and experience with FX markets preferred High competency level with q/kdb+ and Java preferred Formal education: Post graduate degree in a numerate field