Mathematical Optimisation Director - UK / Europe Job ID:A12-091908Job Type:PermanentSector:BankingLocation:LondonRegion:LondonMathematical Optimisation DirectorUK or EuropeAn opportunity to lead the delivery of advanced analytics-based solutions to manufacturing, retail, supply chain and logistics companies across the EMEA region.The RoleWork with a diverse set of clients across multiple sectors including manufacturing, retail, transportation, logistics and supply chain.Work on a diverse set of projects from workforce scheduling to robotics in warehousing.Lead and manage the delivery of successful solutions where success is measured by the business impact and adoption, not complexity and the ability to string buzz words together.Work with problems and projects that are challenging and require a multi-dimensional approach.Work with solutions that integrate Optimisation with Machine Learning/AI.Work to high standards, paying attention to detail and providing highly professional project management support.Lead the EMEA General Optimisation function.Management and development of the General Optimisation Team.Help grow the portfolio of SCM, manufacturing and retail customers by participating in the sales process as required and ensuring subsequent projects are delivered successfully against measurable criteria.Thought leadership and the ability to envisage innovative solutions that leverage analytics and optimization capabilities across the supply chain.Create roadmaps with clients for complex multiphase projects.Develop customer relationships that deliver innovative solutions and foster true partnership with shared successes, understanding, identifying and proactively managing to mitigate overall project risk.Candidate BackgroundExperience in the design, development, deployment and management of optimisation solutions, ideally via implementing mathematical and optimisation models, and custom optimisation solutions.Hands-on experience of the use of optimisation modelling and solver technologies, such as Xpress Optimization; Gurobi; IBM CPLEX/DOC, or end user optimisation tools such as: Optimization Modeler; SAS Marketing Optimization; Experian Marketswitch; GAMS; Risk Solver.Hands-on experience with Mathematical Optimization modelling languages, such as Mosel, OPL, AMPL, AIMMS, etc., or Python or R Mathematical Optimization packages.Working knowledge of virtualised and cloud architectures and concepts (Virtualisation, Containers, HA, AWS, Azure, SoftLayer, etc.), and related delivery models such as IaaS, PaaS, and SaaS.Some experience or knowledge of software development in a general language is desired (e.g., C/C++, Java, Python, Scala, JavaScript, etc.).Advanced degree in Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, or related technical discipline.#J-18808-Ljbffr