Nomura is an Asia-based financial services group with an integrated global network spanning over 30 countries. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Retail, Asset Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com
Business unit overview:
Model Risk Management is a group within Risk Management headed by the Global Head of Model Risk responsible for:
(1) Executing and maintaining an effective Model Risk management framework. (2) Producing a consolidated view of Model Risk for comparison with the Model Risk Appetite. (3) Independently validating the integrity and comprehensiveness of the Models in the Firm.
Key objectives critical to success:
Due to the extension of the scope of the Model Risk Management process, the Firm is seeking to recruit a member of the newly established Algorithmic Trading Model Validation Group. The successful candidate will have a strong quantitative background and will be responsible for the independent validation of Nomura's Algorithmic Trading Models across a wide variety of asset classes / business lines. The team is responsible for:
* Independent Validation of Algorithmic Trading Models, including * Assessment of conceptual soundness of Algorithmic Trading Models, including the integrity and suitability of * Model parameters * Implementation testing * Model Risk Analysis - to identify, analyse and quantify Model Risk * Development and Execution of Model Performance Monitoring to ensure that Algorithmic Trading Models are performing as intended * Design and implementation of Model Risk Control processes for Algorithmic Trading Models
Skills, experience, qualifications and knowledge required:
* A working experience in a quantitative environment * A postgraduate degree in a quantitative discipline * Established experience in quantitative financial models as a Model Developer or Model Validator * Practical knowledge of optimization, statistics and machine learning * Excellent verbal and written communication skills in English * Self-motivated work attitude
* Familiarity with Valuation Models * PhD (or equivalent) in a quantitative discipline...