Nomura is a global financial services group with an integrated network spanning over 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Retail, Wholesale (Global Markets and Investment Banking), and Investment Management. 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.

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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 senior 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 and challenging of conceptual soundness of Algorithmic Trading Models, including the integrity and suitability of Model parameters
- Implementation testing & independent Benchmarking
- Rigorous 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 either as a Model Developer or Model Validator
A postgraduate degree in a quantitative discipline
Practical knowledge of optimization, statistics and machine learning (e.g. classification, supervised and unsupervised learning)
Hands-on experience with querying and analyzing big datasets, ideally high frequency tick data
Excellent verbal & written communication skills in English and competent in delivering high-quality evidence-based reports
Self-motivated work attitude and ability to deal with senior stakeholders

Desirable

Familiarity with Valuation Models, especially for Rates
Experience in scientific programming & data visualization in R or Python and its libraries (e.g.scikit-learn, tensorflow)
Knowledge of q/kdb+
PhD (or equivalent) in a quantitative discipline

*base pay offered may vary depending on multiple individualized factors, including market location, corporate and functional title and duties, job-related knowledge and advanced degrees, skills, and experience.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors”.

Algorithmic Trading Model Risk Quant