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- Tasks: Analyse and manage credit risks while monitoring loan portfolios.
- Company: Join a dynamic team focused on credit risk management.
- Benefits: Gain valuable experience in a permanent role with potential for growth.
- Why this job: Perfect for those passionate about finance and risk analysis in a supportive environment.
- Qualifications: Must have 2+ years in portfolio analysis and fluent Mandarin skills.
- Other info: Office-based role, ideal for those seeking hands-on experience.
The predicted salary is between 28800 - 43200 £ per year.
Job Description
It is essential to have a minimum of 2 years’ experience in portfolio analysis. Sponsorship will not be available for this position, therefore 3+ years on visa eligibility to work in UK is essential.\\n\\nOur client is seeking a Fluent Mandarin speaking Credit Portfolio Assistant to join the team on a permanent basis. This role is 5 days per week in the office.\\n\\nThe successful candidate will be responsible for assessing, analysing and managing the potential risks associated with extending credit businesses or other entities and minimising the credit-related losses by monitoring and analysing the loan portfolio and identifying early warning signals.\\n\\nResponsibilities (but not limited to):\\n• Portfolio monitoring: continuously monitor the credit portfolio to identify important message/early warning signals of distress or deteriorating credit quality by tracking and analysing the repayment patterns, financial covenants, internal rating, country risk, large exposure, and other changes related to credit risk.\\n• Credit risk control reporting and analysis: prepare regular reports/MI pack to the Management, committees, Head Office, regulators and other relevant stakeholders, providing updates and analysis on credit risk exposure, risk appetite metrics, and other indicators to reflect the effectiveness of risk management strategies.\\n• Credit risk control: including limit reservations.\\n• Credit Risk Analysis: Evaluate the credit risk impact by monitoring and analysing macro economy, industry/sector trends, peers performance, products, and other specific in depth analysis.\\n• Asset Quality management: accountability assessment of non-performing loans and write-off.\\n• IFRS 9 provision model calculating and provision overlay charges memo drafting.\\n\\nSkills and knowledge:\\n• Possesses a minimum of 2 years and above work experience in portfolio analysis.\\n• Good written and verbal skills in both English and Mandarin.\\n• Strong data analysis capability with tools like Excel and Power BI.
Python and Access optional.\\n• Proficient and skilled with Microsoft Word and PowerPoint etc.\\n\\nFor more information on this role please contact Judith Webb by sending your CV quoting ref 16900JW
Fluent Mandarin Credit Portfolio Assistant employer: Barbara Houghton Associates
Contact Detail:
Barbara Houghton Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fluent Mandarin Credit Portfolio Assistant
✨Tip Number 1
Make sure to brush up on your Mandarin language skills, as fluency is a key requirement for this role. Practising with native speakers or engaging in language exchange can help you feel more confident during interviews.
✨Tip Number 2
Familiarise yourself with the latest trends in credit risk management and portfolio analysis. Being able to discuss current industry developments will show your potential employer that you're proactive and knowledgeable.
✨Tip Number 3
Prepare to demonstrate your data analysis skills during the interview. Be ready to discuss specific tools you've used, like Excel or Power BI, and how you've applied them in previous roles to manage credit portfolios effectively.
✨Tip Number 4
Network with professionals in the finance and credit risk sectors. Attend relevant events or join online forums to connect with others in the field, which could lead to valuable insights and potential referrals for the position.
We think you need these skills to ace Fluent Mandarin Credit Portfolio Assistant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in portfolio analysis, especially the 2+ years required. Emphasise your skills in data analysis and any specific tools mentioned in the job description, like Excel and Power BI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your fluency in Mandarin and English. Discuss your experience in credit risk management and how it aligns with the responsibilities of the role. Be sure to mention your understanding of credit-related losses and risk management strategies.
Highlight Relevant Skills: In your application, clearly outline your proficiency with Microsoft Office tools, particularly Excel and Power BI. If you have experience with Python or Access, mention that as well, as it could set you apart from other candidates.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Ensure that your language is professional and that you have addressed all the key points from the job description. A polished application reflects your attention to detail.
How to prepare for a job interview at Barbara Houghton Associates
✨Showcase Your Experience
Make sure to highlight your 2+ years of experience in portfolio analysis during the interview. Be prepared to discuss specific projects or challenges you've faced and how you successfully managed them.
✨Demonstrate Language Proficiency
Since this role requires fluency in Mandarin, practice speaking about your previous work experiences in both English and Mandarin. This will show your ability to communicate effectively in both languages.
✨Prepare for Technical Questions
Brush up on your data analysis skills, especially with tools like Excel and Power BI. Expect questions that assess your technical knowledge and be ready to explain how you've used these tools in your previous roles.
✨Understand Credit Risk Concepts
Familiarise yourself with key credit risk concepts and metrics. Be prepared to discuss how you would monitor and analyse credit portfolios, as well as how you would identify early warning signals of distress.
