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This front office, trading floor role involves generating and researching ideas for signal and strategies for use in standalone alpha trading and other areas of eFX, and developing them into production system code.
Researching and generating FX market signals for use in standalone risk holding Alpha strategies, in market making, and in client algos
Developing risk holding strategies to run in production to exploit any signals found with sufficient alpha to pay transaction costs
Enhancing data (trade, client, market, P&L) analytics and mining to contribute to signals and to help identify ways to improve Market Making
Meeting Alpha pod P&L targets, and contributing to Market Making P&L targets
Documenting analysis and models so that they accessible to eFX Quants and, where necessary, to all relevant Risk, Compliance, and Audit teams
Display a culture of individual ownership of tasks to embed a clear individual sense of accountability in performing the role
Ensure that the highest level of the Code of Conduct is displayed in your behaviour
Provide appropriate management information as required to support business unit decision making
Support the 'Risk Excellence' culture within the business
Adhere to limits of delegation and escalation procedures required by your manager so that you comply with internal policies and external regulations
Post-graduate degree in a quantitative discipline
Detailed knowledge of the microstructure and microdynamics of different types of low latency markets, i.e. central limit order books, bespoke liquidity pools, dark books, mid books, etc., ideally in spot FX and NDFs, although similar experience with equity and futures markets could be considered;
Understanding of the relationships between different types of market participants, their trading characteristics, and the market dynamics associated with their trades;
An interest in, and ideas for, using knowledge of markets and client types to research and develop 'alpha' strategies and signals for use in standalone spot FX (and NDF) proprietary trading strategies, as well as for eFX market making to clients, eFX market making on central limit order books, and client algos;
Experience with a data analysis & modelling language (e.g. Python, Matlab, etc.)
Experience with a production system language (e.g. Java, C++, etc.)
Appreciate that all Alpha strategies must be ethical in intention and implementation
Able to anticipate where models and code are susceptible to problems or fragile
Able to apply statistical rigour to data analysis
Motivated to consider and test multiple hypotheses to explain data