Mathematical Optimisation Director - UK / Europe
Job ID:
A12-091908
Job Type:
Permanent
Sector:
Banking
Location:
London
Region:
London
Mathematical Optimisation Director
UK or Europe
An opportunity to lead the delivery of advanced analytics-based solutions to manufacturing, retail, supply chain and logistics companies across the EMEA region.
The Role
* Work 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 Background
* Experience 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.
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