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Job description

• Design of models, methods and processes in both the private and public sectors
• Use of data science methods
• Business analyses and simulations
• Design, implementation and validation of mathematical models
• Use of modern technologies such as machine learning or big data solutions
• Agile full-stack programming of sophisticated solutions
• Technical analysis and implementation of regulatory requirements
• Analysis, conception and digitalisation of processes
• Selection, parameterisation and integration of systems

Requirements

• Outstanding university degree (Master/PhD) in physics, mathematics, computer science or natural, engineering or economic sciences with a corresponding quantitative, analytical or technological specialisation
• English language proficiency
• Possess significant IT knowledge coupled with strong programming skills
• Familiar with at least one of the following subjects: mathematical statistics, numerical analysis, simulation techniques (e.g. Monte Carlo), optimisation methods (e.g. simulated annealing), and financial mathematical modelling
• Ability to work well in a team
• Ability to communicate effectively with peers as well as with senior employees of d-fine and our clients
• Work experience in trading, treasury or risk management may be an additional advantage