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Position: Consultant
Institution: d-fine GmbH
Location: United Kingdom
Duties: 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
   
Text: Job Publications Consultant from the fields of physics, mathematics, computer science, natural sciences, engineering or economics Contract Perdiod: permanent Working Time: full-time Location: London, everywhere in the UK and international Entry Date: all year around (depending on availability) d-fine is a European consultancy firm with over 1.000 employees, distributed across seven offices in four countries. Our London office in the heart of the City was established in 2005 to deliver services to all our clients in the UK and Ireland. The firm is focused on analytically challenging and quantitative projects, with the aim of designing and developing future-proof solutions for business problems. These solutions are based on extensive practical experience and highly qualified employees with a quantitative and technological background. This combination enables d-fine to efficiently deliver solutions for our clients across a range of commercial and industrial sectors. 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 We offer Interesting and varied projects across Europe A competitive salary The opportunity to work with highly talented and motivated colleagues The chance to work with a wide range of clients from specialized hedge funds and industrial conglomerates to banking institutions The option to extend your expertise of financial mathematics through participation in courses at leading international universities A wide range of additional benefits such as company pension scheme, private medical, remote working policy, company events and much more! Please do not hesitate to contact us Contact: Ms Claudia Sievers Phone: 44 20 7776 1000 Email: careers@ remove-this. d-fine.co.uk Back Apply powered by d.vinci
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