Structured Finance - Asset-Backed Securities (Oil & Gas), Director - Toronto
Fitch Ratings is looking for Structured Finance - Asset-Backed Securities (Oil & Gas), Director - Toronto in Toronto, OH.
This local job opportunity with ID 3863315421 is live since 2026-10-02 08:16:19.
Overview
Overview
As a Director in Fitch Rating's ABS Oil and Gas team in Toronto, you will shape credit views across ABS exposures and monitor trends that impact pool and rating performance. You'll work within a collaborative, global team to deliver timely, forward-looking credit analysis and research. You'll analyze key credit, legal, and structural factors of ABS Oil and Gas transactions and support rating workflows through portfolio monitoring and cashflow perspectives. This role offers growth in a leading market with exposure to diverse sectors, structures, and markets, enhancing your ability to influence outcomes in the debt capital markets.
Compensation / Benefits- Hybrid Work Environment
- Dedicated trainings and mentorship
- Retirement planning
- Tuition reimbursement
- Comprehensive healthcare offerings
- Parental leave
- Analyze credit, legal, and structural aspects of ABS Oil and Gas transactions
- Support rating workflows by analyzing and monitoring a portfolio of ABS Oil and Gas transactions
- Utilize cashflow models to form opinions on future performance
- Stay updated on sector trends and communicate findings within the team and to external stakeholders
- Contribute to research reports and special projects focused on sector trends
- BA/BS degree and at least 8 years of relevant work experience in the Oil and Gas sector
- Strong written and verbal communication skills
- Comfort in analyzing large datasets and deriving meaningful conclusions
- Collaborative mindset and strong interpersonal skills
- Good understanding of finance fundamentals and current economic conditions
- Eagerness to learn new concepts and grow expertise
- collaboration
- interpersonal skills
- strong communication
- cashflow modeling
- credit analysis
- data analysis