The successful candidate will be a Senior MatLab Architect/Developer, with significant skills in quantitative finance, calculation and back testing.
A typical profile would be an engineering graduate from a leading school with subsequent experience in software architecture/development in MatLab, and a qualification or knowledge in a quantitative discipline of finance. An experience in a software architecture/development role with a financial company would be a strong asset for the position.
Under the supervision of its Production Director, the successful candidate is expected to maintain and develop the back-end tier of ERI Scientific Beta’s software solution for the construction, calculation and delivery of financial indices. He/she will intervene on all software layers of the platform, from financial data processing to portfolio optimisation, index valuation and delivery. He/she will also participate in customization projects and presales deliveries.
The candidate will be an expert in MatLab and knowledgeable about secure software development principles and techniques. He/she will use development tools in cooperation with continuous integration and test, while supporting software reuse and refactoring. He/she will support the software configuration management process and understand the software components and their interface requirements. The position requires someone who is proactive and passionate about ensuring the quality of software deliverables and can communicate with the production team.
To apply, please send your CV and a cover letter to Mrs Laurence Kriloff - firstname.lastname@example.org
As part of its policy of transferring know-how to the industry, EDHEC-Risk Institute has set up ERI Scientific Beta. ERI Scientific Beta is an original initiative which aims to favour the adoption of the latest advances in smart beta design and implementation by the whole investment industry. Its academic origin provides the foundation for its strategy: offer, in the best economic conditions possible, the smart beta solutions that are most proven scientifically with full transparency of both the methods and the associated risks.