Algorithmic Trading Model Risk Quantitative Analyst (Associate)

Algorithmic Trading Model Risk Quantitative Analyst (Associate)

London, United Kingdom

11209

Role overview and responsibilities are described in the sections below.

Company overview

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment 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

Department overview

Model Risk Management is a group within Risk Management headed by the Global Head of Model Risk responsible for:

1. 
   
2. Executing and maintaining an effective Model Risk management framework
   
3. Producing a consolidated view of Model Risk for comparison with the Model Risk Appetite
   
4. Independently validating the integrity and comprehensiveness of the Models in the Firm
   

Due to the extension of the scope of the Model Risk Management process, the Firm is seeking to recruit a member of the 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, and challenge or testing of assumptions
    
  • Implementation testing & Benchmarking using Python or other programming languages
    
  • Conduct Model Risk Analysis using advanced quantitative methods – to identify, analyse and quantify Model Risk
    
  
  
  
• Monitoring and assessing the full model lifecycle for Algorithmic Trading Models
  
• Design and implementation of Model Risk Management processes for Algorithmic Trading Models
  

Essential

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• A working experience in a quantitative environment either as a Model Developer or Model Validator
  
• A postgraduate degree in a quantitative discipline
  
• Experience in scientific programming & data visualization in R or Python and its libraries (e.g. scikit-learn, tensorflow)
  
• 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
  
• Hands-on experience in neural networks, NLP or Large Language Models
  
• Experience in Market Risk Analytics such as VaR/sVaR backtesting
  
• PhD (or equivalent) in a quantitative discipline
  

• 
  
• Explore Insights & Vision
  
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  • Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.
    
  
  
  
• Making Strategic Decisions
  
  • 
    
  • Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.
    
  
  
  
• Inspire Entrepreneurship in People
  
  • 
    
  • Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.
    
  
  
  
• Elevate Organizational Capability
  
  • 
    
  • Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.
    
  
  
  
• Inclusion
  
  • 
    
  • Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).
    
  
  
  

The UK Government has taken steps to reduce net migration to the UK by limiting the number of overseas workers coming to the UK for employment. Please note that whilst we are able to consider applications from overseas workers from outside the UK (who require a Tier 2 Skilled Worker visa) we can only employ them if we can provide evidence that this is a genuine vacancy for a qualified role.

Nomura is an equal opportunity employer. We value diversity and are committed to ensuring we best reflect the diversity of the communities we serve creating an inclusive environment for all our employees. We welcome all applications and do not discriminate on the basis of age, disability, gender identity and gender expression, pregnancy and maternity, marriage and civil partnership, race, religion or belief, sex or sexual orientation.

If you require any assistance or reasonable adjustments due to a disability or long-term health condition, please do not hesitate to contact us.

Nomura is an Equal Opportunity Employer