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- Tasks: Validate and assess Algorithmic Trading Models using advanced quantitative methods.
- Company: Join Nomura, a global leader in financial services with a rich history.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Why this job: Make an impact in the fast-paced world of algorithmic trading and model risk management.
- Qualifications: Postgraduate degree in a quantitative field and experience in programming with Python or R.
- Other info: Be part of a diverse team that values inclusion and innovation.
The predicted salary is between 43200 - 72000 £ per year.
Job Title
Algorithmic Trading Model Risk Quantitative Analyst (Associate)
Location
London, United Kingdom
Job Code
11209
Description
Role overview and responsibilities are described in the sections below.
Overview
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:
- Executing and maintaining an effective Model Risk management framework
- Producing a consolidated view of Model Risk for comparison with the Model Risk Appetite
- Independently validating the integrity and comprehensiveness of the Models in the Firm
Role objective
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
Skills, experience, qualifications and knowledge
Essential
- 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
Nomura competencies
- Explore Insights & Vision
- 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).
Right to Work
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.
Diversity & Inclusion
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
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Algorithmic Trading Model Risk Quantitative Analyst (Associate) employer: Nomura Holdings, Inc.
Contact Detail:
Nomura Holdings, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithmic Trading Model Risk Quantitative Analyst (Associate)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Nomura. Building relationships can open doors that applications alone can't.
✨Show Off Your Skills
When you get the chance to chat with recruiters or during interviews, make sure to highlight your quantitative skills and programming experience. Bring examples of your work, like projects in Python or R, to showcase your expertise.
✨Prepare for Technical Questions
Brush up on your knowledge of model risk management and algorithmic trading. Be ready to discuss your understanding of concepts like optimization and machine learning, as these will likely come up in interviews.
✨Apply Through Our Website
Don't forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at Nomura.
We think you need these skills to ace Algorithmic Trading Model Risk Quantitative Analyst (Associate)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Algorithmic Trading Model Risk Quantitative Analyst. Highlight your quantitative skills, programming experience, and any relevant projects that showcase your ability to validate models.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about model risk management and how your background fits with our needs. Use specific examples to demonstrate your experience in quantitative analysis and model validation.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python or R, especially if you’ve used them for model testing or data analysis. We love seeing hands-on experience with big datasets and machine learning techniques!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at Nomura.
How to prepare for a job interview at Nomura Holdings, Inc.
✨Know Your Models Inside Out
Make sure you have a solid understanding of the Algorithmic Trading Models you'll be validating. Brush up on their conceptual soundness, parameters, and assumptions. Being able to discuss these in detail will show your expertise and confidence.
✨Show Off Your Programming Skills
Since you'll be using Python or R for implementation testing and benchmarking, be prepared to demonstrate your coding skills. Bring examples of past projects or analyses you've done, and be ready to explain your thought process and the tools you used.
✨Quantitative Methods are Key
Familiarise yourself with advanced quantitative methods relevant to model risk analysis. Be ready to discuss how you've applied techniques like machine learning or statistical analysis in previous roles, especially in relation to high-frequency tick data.
✨Communicate Clearly and Confidently
Excellent verbal and written communication skills are essential. Practice explaining complex concepts in simple terms, as you'll need to convey your findings to senior stakeholders. Prepare a few examples of reports or presentations you've delivered in the past.
