Algorithmic Trading Model Risk Analyst, Associate (1205810) London, England
JOB DESCRIPTION
Job title: Algorithmic Trading Model Risk Analyst
Corporate Title: Associate
Department: Risk Management
Location: London
Company overview
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:
Essential
- 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
Desirable
- Familiarity with Valuation Models
- PhD (or equivalent) in a quantitative discipline