Location: United Kingdom (London, City of) Type: Permanent Start date: 21/09/2017
Rates E-Trading Strat – Assoc/VP/Director level
eTrading is key to the evolution of the flow Corporate Investment Bank (CIB) Front Office businesses. The continuing process of standardization has created a tipping point for eTrading in Fixed Income to grow tremendously in the coming decade - just as the period 2000-2010 saw a rapid move to electronic trading in equity markets globally. The Strats group as a whole combines expertise in quantitative analytics with a deep understanding of system architecture and programming to provide the key building blocks for algorithmic trading development. Within Strats, the Rates eTrading group delivers an efficient client trading model and a low-latency interdealer market-making and hedging operation. The larger Strats group is also responsible for a scalable and flexible Front Office pricing and risk management system. The integration of these operations ensures an easy route to consistent analytic results and minimises duplication of equivalent technologies.
Working with the eTrading quant group and trading desks to build new, and run the existing quoting, hedging and execution algorithms and develop the ability to rapidly react to changing market conditions and optimise the value of the overall franchise.
Building algorithms and core infrastructure towards a common cross-asset platform, focusing on Flow Rates and Credit, allowing Quants to develop electronic trading components and strategies.
Architecting well-designed, robust and reusable algorithmic components to enable agile prototyping, testing and back-testing of trading strategies.
Working with technology to help manage and deploy the platform.
Skills and Qualifications:
Strong quantitative analytic, modelling, pricing and risk management skills, with experience within a financial services environment.
Expert programming skills in Java or C++ (with affinity to work in Java), working knowledge of Linux, scripting.
Previous experience of using databases such as kdb and Q.
Proven experience of algorithmic design, software architecture/engineering, profiling and performance optimisation skills.
Experience in building statistical models in R or Python.
Experience in algorithmic market making, ideally of Flow Rates products.
Relevant education such as a BSc / MSc / PhD in a relevant subject such as Finance, Maths, Physics, Computer Science, Econometrics, Statistics or Engineering, or the equivalent work experience or qualifications.
The ability to communicate effectively across multiple teams and functions, in addition to excellent presentational skills.