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Development, analysis and implementation of quantitative models and tools for FX derivatives and FX flow trading in the respective Markets trading business for pricing, quotation, execution and risk management (incl. higher automation) with quantitative toolboxes and connections to internal (e.g. trading, risk management, risk and regulatory reporting) and external systems/platforms with daily front office support for Markets trading business with respect to quantitative and digital topics (incl. evaluation of internal approvals (e.g. NPP) when new model or algorithm features are required)
Contribute to algorithmic, data analytics and machine learning initiatives on the trading side (FX trading)
Digital transformation of Markets trading business initiatives into quantitative and/or digital roadmaps (incl. analysis of digital business approaches and trends) in the area of FX trading
FX derivatives and/or FX spot market
FX derivatives models and analytics and/or FX spot pricing and analytics
Machine learning techniques; eg pattern recognition, time series analytics and simulation, Markov chain techniques
Business intelligence tools
Good communication skills
Excellent analytical and programming skills
Following deliveries through to completion
Curiosity, openness to change and innovation
University degree in mathematics, engineering, finance or other quantitative major
At least 2 years of experience as a front office FX quant
Previous Experience Desirable:
Experience in analytics and algorithm design in the context of e-trading
Fluent in English
Ability to work in a team
Delivery to tight deadlines
Interest in automation/digitalization in the financial services sector