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For Companies At a Glance
- Tasks: Monitor ABS loan performance and conduct data analysis.
- Company: Join a top asset management firm with expertise in structured finance.
- Benefits: Enjoy structured training, mentoring, and a collaborative work culture.
- Why this job: Gain deep knowledge in structured credit while working with industry experts.
- Qualifications: Bachelor's degree in Finance or related field; 18 months to 3 years experience preferred.
- Other info: Opportunity to work with diverse ABS asset classes and large datasets.
The predicted salary is between 36000 - 60000 £ per year.
About the Company
Our client is a leading asset management and investment advisory firm with a strong track record in managing complex portfolios across multiple sectors. The team specialises in Asset-Backed Securities (ABS) and structured finance solutions across a range of asset classes. They are now looking for an Analyst to support the management of a diversified loan book, predominantly backed by Non-performing Loan portfolios originated by a major global investment bank.
Role Overview
The Analyst will support the team in monitoring performance, conducting analysis, and managing data across a portfolio of ABS loans. This is an excellent opportunity to develop deep technical and sector knowledge in structured credit, working alongside experienced professionals in a high-performance, collaborative environment.
Key Responsibilities
- Assist in monitoring portfolio performance across various ABS loan types (e.g., equipment, auto, credit card, and consumer loans)
- Support the preparation of regular credit reviews and asset quality assessments
- Help develop and maintain financial models to forecast loan performance and key metrics
- Produce clear, data-driven reports and dashboards to track trends and identify risk indicators
- Assist in preparing materials and analysis for internal and external stakeholders
- Support the implementation of risk management practices across the ABS portfolio
- Help ensure data accuracy, completeness, and integrity across internal systems
Background and Experience
- Bachelor’s degree in Finance, Economics, Business, Mathematics, or a related field
- 18 months - 3 years of relevant experience (experience in loan asset management, or structured finance preferred)
- Strong interest in structured finance or ABS (Asset-Backed Securities) or credit risk
- Excellent analytical and quantitative skills
- High proficiency in Microsoft Excel; knowledge of SQL, Python, or financial modelling is a plus
- Strong written and verbal communication skills
- Highly detail-oriented and organized, with a proactive attitude
- Comfortable working with large datasets and supporting presentations to stakeholders
- Team player who can also work independently when required
Great opportunity to gain exposure to a wide range of ABS asset classes and sectors. Structured training and mentoring from senior professionals. A supportive, performance-driven work culture.
Analyst - Structured Finance & Loan Asset Management employer: Macdonald & Company
Contact Detail:
Macdonald & Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst - Structured Finance & Loan Asset Management
✨Tip Number 1
Familiarise yourself with the key concepts of Asset-Backed Securities (ABS) and structured finance. Understanding the nuances of different loan types, such as equipment and auto loans, will help you stand out during discussions with our team.
✨Tip Number 2
Brush up on your analytical skills, particularly in financial modelling and data analysis. Being able to demonstrate your proficiency in tools like Excel, SQL, or Python can significantly enhance your candidacy.
✨Tip Number 3
Network with professionals in the structured finance sector. Engaging with industry experts can provide valuable insights and potentially lead to referrals, which can be a great advantage when applying for this role.
✨Tip Number 4
Prepare to discuss your previous experiences related to loan asset management or credit risk. Be ready to share specific examples of how you've contributed to projects or analyses that align with the responsibilities of the Analyst position.
We think you need these skills to ace Analyst - Structured Finance & Loan Asset Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in finance, structured finance, or loan asset management. Emphasise any analytical skills and proficiency in tools like Microsoft Excel, SQL, or Python that align with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, express your strong interest in structured finance and Asset-Backed Securities. Mention specific experiences that demonstrate your analytical abilities and how they relate to the responsibilities of the Analyst role.
Showcase Your Analytical Skills: Provide examples in your application that showcase your analytical and quantitative skills. Discuss any relevant projects or experiences where you monitored performance, conducted analysis, or managed data, particularly in relation to ABS loans.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A well-presented application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at Macdonald & Company
✨Showcase Your Analytical Skills
As an Analyst, strong analytical skills are crucial. Be prepared to discuss specific examples of how you've used data analysis in previous roles, particularly in finance or asset management. Highlight any experience with financial modelling or risk assessment.
✨Demonstrate Knowledge of Structured Finance
Familiarise yourself with Asset-Backed Securities (ABS) and structured finance concepts. During the interview, reference your understanding of different loan types and how they perform under various market conditions. This will show your genuine interest in the field.
✨Prepare for Technical Questions
Expect technical questions related to financial modelling, Excel, and possibly SQL or Python. Brush up on these skills and be ready to solve problems or explain your thought process. This will demonstrate your readiness for the role's technical demands.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice articulating your thoughts clearly and concisely. Be prepared to present your ideas or findings as you would to stakeholders, showcasing your ability to convey complex information effectively.