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My Client, a Global Risk Analytics Consulting boutique is looking for a Technical Solutions Leader to run an internal program for 6 months (with the possibility of extension). The Candidate should be proficient in data science (60%) and software development (40%), with hands on experience in developing in R and Python. The candidate will define the strategy, architecture and specifications of the platforms in interaction with internal stakeholders. They will implement, lead and manage the development team, adopting an agile approach. They will define and manage budgets for the program. They will be part of the leadership team and regularly present evolutions of the platforms to senior stakeholders. The candidate will be directly involved in the development of a Model Validation Platform, an IT platform which employees will be using to exploit validation services. The candidate should be able to build clean, structured, generalisable code which is sustainable and re-usable.
Master's or PhD degree in statistics, mathematics, physics or computer science
Experience in building solutions (across the life-cycle, from inception to maintenance) and in developing technical platforms
Experience in design Big Data based architectures to build and scale digital solutions
R and Python and strong knowledge of data analysis, treatment techniques and modelling statistical techniques
Previous experience in managing a development team
Experience in agile development and related processes (eg SCRUM)
Experience in open source and cloud based technologies
Knowledge of financial models (and model validation processes) is a plus
Experience in process automation (and related tools) is a plus
Experience in managing yearly budgets
Experience in stakeholders and communication management
Experience IT and data security is a big plus
Capability and willingness to mentor others and also building a team from scratch