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For Companies At a Glance
- Tasks: Support data initiatives, analyse market data, and create reports for trading desks.
- Company: Join Nomura, a global financial services leader connecting markets since 1925.
- Benefits: Enjoy mentorship, training opportunities, and exposure to cutting-edge financial technology.
- Why this job: Be part of a dynamic team, enhance your skills, and make an impact in finance.
- Qualifications: Bachelor's degree in relevant fields; basic programming skills in Python or R required.
- Other info: Diversity and inclusion are core values; we welcome applicants from all backgrounds.
The predicted salary is between 28800 - 48000 £ per year.
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.
Department Overview
We are a Rates focused eTrading Strats team, operating globally in London, New York and Tokyo. We are responsible for the development and operation of automated trading strategies, eBooks and pricing models across client and interdealer electronic venues.
Role Overview
Supporting data initiatives across Global Markets front office, focusing on data analysis, reporting, and process improvement to enhance trading and business operations.
Key Responsibilities
- Support the implementation and maintenance of data-driven solutions for trading desks
- Assist in analysing market data and trading patterns to identify trends, opportunities and support strategic decision making
- Create and maintain regular reports and dashboards for business stakeholders
- Help automate manual processes through data analysis and basic programming
- Collaborate with trading teams to understand their data requirements
- Support data quality initiatives and help maintain data integrity
- Assist in documentation of processes and procedures
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, or related field
- Basic programming skills in Python or R
- Understanding of SQL and database concepts
- Proficiency in Excel and data visualization tools
- Strong analytical and problem-solving abilities
- Excellent attention to detail
- Good communication skills
Preferred Skills
- Knowledge of financial markets and trading concepts
- Basic understanding of machine learning concepts
- Knowledge of version control systems (Git)
- Experience with data cleaning and preparation
Personal Qualities
- Strong team player with ability to work in a fast-paced environment
- Eager to learn and adapt to new technologies
- Proactive approach to problem-solving
- Good time management and organizational skills
- Ability to communicate complex information clearly
Development Opportunities
- Exposure to cutting-edge financial technology
- Mentorship from experienced professionals
- Training in advanced analytics and financial concepts
- Career progression opportunities within Global Markets
Diversity & Inclusion
Nomura is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all our employees. We 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.
Junior Data Analyst employer: Nomura Holdings, Inc.
Contact Detail:
Nomura Holdings, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst
✨Tip Number 1
Familiarise yourself with the financial markets and trading concepts. Understanding the basics of how trading works will not only help you in interviews but also show your genuine interest in the role.
✨Tip Number 2
Brush up on your programming skills, especially in Python or R. Being able to demonstrate your ability to automate processes and analyse data will set you apart from other candidates.
✨Tip Number 3
Get comfortable with SQL and database concepts. Knowing how to query databases effectively will be crucial for the data analysis tasks you'll be handling in this role.
✨Tip Number 4
Practice your communication skills. You'll need to explain complex data findings to non-technical stakeholders, so being able to convey your insights clearly is essential.
We think you need these skills to ace Junior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Junior Data Analyst role at Nomura. Emphasise your programming skills in Python or R, as well as your understanding of SQL and data visualisation tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your understanding of financial markets. Mention specific projects or experiences that demonstrate your analytical abilities and problem-solving skills.
Highlight Relevant Projects: If you have worked on any data-driven projects, whether in your studies or previous roles, be sure to include them in your application. Detail your contributions and the impact of these projects on decision-making or process improvements.
Showcase Soft Skills: In addition to technical skills, Nomura values personal qualities such as teamwork, adaptability, and communication. Provide examples in your application that illustrate how you embody these traits, especially in fast-paced environments.
How to prepare for a job interview at Nomura Holdings, Inc.
✨Showcase Your Analytical Skills
As a Junior Data Analyst, you'll need to demonstrate your analytical abilities. Prepare examples of how you've used data analysis in the past, whether through academic projects or internships. Be ready to discuss specific tools and techniques you used to derive insights from data.
✨Familiarise Yourself with Financial Concepts
Understanding financial markets and trading concepts is crucial for this role. Brush up on key terms and trends in the industry. This will not only help you answer questions more effectively but also show your genuine interest in the field.
✨Prepare for Technical Questions
Expect technical questions related to programming and data analysis. Review basic Python or R coding principles, SQL queries, and Excel functions. Practising common data manipulation tasks can give you an edge during the interview.
✨Demonstrate Teamwork and Communication Skills
Since collaboration is key in this role, be prepared to discuss your experiences working in teams. Highlight instances where you communicated complex information clearly, as this will showcase your ability to work effectively with trading teams and stakeholders.
