Structured Finance Analyst

Structured Finance Analyst

Location: London

Salary: Competitive

Work Type: Hybrid Working

Role and Responsibilities

GLAS is an international provider of institutional debt administration services, serving lenders, borrowers, issuers, and advisers offering a global platform across Loan Agency and related services, Capital Markets, and Restructuring.

GLAS aims to be recognized as the best-in-class independent, non-creditor, conflict-free provider of institutional debt administration services, enabling global clients and counterparties to achieve successful outcomes on their transactions.

The Business Solutions team at GLAS is responsible for delivering digital innovation and technological solutions to enhance their product offering. With significant business growth, the team seeks an experienced Structured Finance Analyst with detailed financial modeling and Corporate Trust experience to support various client initiatives.

Key Responsibilities

• Review legal documentation and model details in Excel or SQL, interpreting metrics such as payment priorities, eligibility, compliance, and entitlements.
• Extract key information from legal documents to build accurate models.
• Design, implement, and maintain complex financial models for transactions.
• Conduct BAU handover training and support technical queries.
• Create and maintain investor reports in Power BI for clients.
• Monitor data and generate relevant certificates, notices, and reports.
• Collaborate with stakeholders and clients, presenting technical concepts and training.
• Mentor junior team members.

Key Skills

• Understanding of structured finance, borrowing base, and fund finance.
• Degree in mathematics or STEM.
• Proficiency in Excel for financial modeling.
• Experience with SQL Server, data warehousing, and data modeling.
• Ability to write and optimize SQL scripts, including Stored Procedures and Views.
• Power BI report development skills.
• Knowledge of data warehousing, data modeling, and Power Platform is a plus.
• Experience with Jira and excellent communication skills.
• Strong problem-solving and analytical skills, client-facing experience.
• Knowledge of Python or R is desirable.

Benefits

• Competitive salary plus bonus
• 28 days annual leave plus bank holidays
• Long service award, private medical insurance, pension, life insurance
• Employee Assistance Program, season ticket loan, eye exams, gym discounts
• Career development and study support

GLAS values diversity, inclusivity, and flexible working arrangements. We are committed to supporting your career growth and fostering an environment where all ideas and perspectives are valued.

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