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- Tasks: Join our team to analyse credit markets and provide investment insights.
- Company: We are a leading asset management firm focused on innovative financial solutions.
- Benefits: Enjoy flexible working options, professional development opportunities, and a collaborative culture.
- Why this job: Make an impact in finance while developing your analytical skills in a dynamic environment.
- Qualifications: Bachelor's degree in Finance or related field; CFA preferred; strong analytical skills required.
- Other info: Opportunity to work on thought leadership articles and gain exposure to industry experts.
The predicted salary is between 28800 - 48000 £ per year.
The candidate will be working with the portfolio managers and fellow analysts to provide sector-based coverage of the U.S and European credit market. He/she will be responsible for both providing investment opinions and profitable trade ideas for the financials and some corporate sectors. The analyst will also monitor existing investments on the funds to minimise risk. Furthermore, the candidate will support the portfolio management in all aspects of the investment process.
Key Responsibilities:
- Functions include updating historical financial models, building out projections, maintaining comparative company analysis, relaying information from conference calls, industry conferences and discussions with management teams, and developing investment theses and trade ideas as well as verbal and written communication of investment recommendations and credit opinions to portfolio managers.
- Keep PMs and Traders updated on all news items related to companies within the invested universe.
- Support the portfolio management in its day-to-day business.
- Participate and contribute in interest rate, credit and product meetings.
- Help to deploy and further develop the company’s proprietary quantitative tools.
- Assist in the creation of client requested, credit-oriented documentation.
- Ad hoc project work as required.
The above list is not exhaustive but is meant to provide an indication of the scope of the role.
Specific Functional Duties:
- The candidate will work together with the team on our highly regarded thought leadership articles and other publications.
Key skills, attributes and characteristics:
- Strong financial modelling and analytical skills are paramount.
- Ability to translate fundamental credit opinions into relative value ideas.
- Assess corporate and financial structures and covenants.
- Proficient in Bloomberg, Excel, Word and PowerPoint.
- Knowledge of quantitative methods and programming languages (VBA, R, Python).
- Strong oral and written communication skills.
Experience and qualifications:
- Bachelor degree or equivalent in Finance, Accounting, Economics, Statistics, or Mathematics (CFA preferred or working towards).
- Experience of working in asset management or debt capital markets would be an advantage as would experience within Credit rating agencies.
- Prior experience covering financial sector would be an advantage.
Contact Detail:
Nikko Asset Management Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in the U.S and European credit markets. This will not only help you understand the current landscape but also allow you to engage in meaningful discussions during interviews, showcasing your knowledge and enthusiasm for the role.
✨Tip Number 2
Brush up on your financial modelling skills, especially in Excel. Being able to demonstrate your proficiency in building financial models and projections can set you apart from other candidates, as these skills are crucial for the role.
✨Tip Number 3
Network with professionals in the asset management and credit analysis fields. Attend industry conferences or webinars to connect with potential colleagues and learn more about the company culture at StudySmarter, which can give you an edge in your application.
✨Tip Number 4
Prepare to discuss your experience with quantitative methods and programming languages like VBA, R, or Python. Highlighting your technical skills during the interview can demonstrate your ability to contribute to the development of proprietary quantitative tools at StudySmarter.
We think you need these skills to ace Credit Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Credit Analyst role. Focus on your financial modelling, analytical skills, and any experience with Bloomberg or programming languages like VBA, R, or Python.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the position and the company. Discuss how your background in finance, accounting, or economics makes you a strong candidate. Mention specific experiences that demonstrate your ability to provide investment opinions and trade ideas.
Showcase Relevant Projects: If you've worked on projects related to credit analysis or financial modelling, be sure to include these in your application. Describe your role, the tools you used, and the outcomes of these projects to illustrate your capabilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Credit Analyst role.
How to prepare for a job interview at Nikko Asset Management Group
✨Showcase Your Financial Modelling Skills
As a Credit Analyst, strong financial modelling and analytical skills are crucial. Be prepared to discuss your experience with financial models and provide examples of how you've used them in previous roles.
✨Demonstrate Your Knowledge of Credit Markets
Familiarise yourself with the U.S and European credit markets. During the interview, be ready to share your insights on current trends and how they might impact investment decisions.
✨Communicate Clearly and Effectively
Strong oral and written communication skills are essential for this role. Practice articulating your thoughts clearly, especially when discussing complex financial concepts or your investment recommendations.
✨Prepare for Technical Questions
Expect technical questions related to credit analysis, financial structures, and quantitative methods. Brush up on your knowledge of programming languages like VBA, R, or Python, as well as tools like Bloomberg and Excel.
