S&P Global visā pasaulē nodrošina uzņēmumus, investorus, valdības un citas organizācijas ar tirgus informāciju, kredītreitingiem, analītiku un etalonindeksiem. Tās pakalpojumi aptver finanses, izejvielas, mobilitāti, ilgtspēju, enerģētikas pāreju un mākslīgo intelektu, palīdzot klientiem izprast tirgus attīstību, novērtēt kredītrisku un pieņemt pārdomātus lēmumus.
Uzņēmums šīs atziņas nodrošina, tostarp ar S&P Global Market Intelligence, S&P Global Ratings un S&P Dow Jones Indices starpniecību. Tā datu vadītie produkti atbalsta izpēti, riska analīzi, salīdzinošo novērtēšanu un stratēģisko plānošanu sarežģītos globālajos tirgos.
Associate Director, Structured Finance
Lead credit analysis of Australian RMBS and ABS transactions at S&P Global Ratings. Oversee modeling, surveillance, and analyst development.
Apraksts
- Assess securitized credit risk by examining asset performance, structural protections, cash flows, and stress scenarios
- Direct analysis for new RMBS and ABS transactions from start to finish
- Review legal and operational documents against criteria and flag structural concerns
- Oversee surveillance and analytical updates
- Relate performance data and market changes to emerging risk themes
- Check inputs, reconcile metrics, and record model assumptions
- Lead due diligence discussions with issuers
- Maintain relationships with issuers, intermediaries, and investors
- Turn complex analysis into clear narratives for executives and market audiences
- Mentor analysts in credit fundamentals, modeling discipline, and responsible AI use
- Coordinate work across credits and anticipate capacity and quality issues
- Revise playbooks and standard operating procedures
- Follow methodology, confidentiality, and data governance standards
- Help develop controlled automation and agentic workflow solutions
Prasības
- Advanced Excel skills and strong financial modeling and cash flow analysis capabilities
- Sound knowledge of financial markets, structured products, and their links to credit risk
- Demonstrated ability in credit and financial analysis
- Ability to explain complex matters clearly and connect market developments with emerging risks
- Strong written and spoken communication
- Practical AI skills, including experience incorporating generative AI and large language model tools into analytical workflows
- Careful validation, governance, and judgment when using AI
- High standards for accuracy, traceability, and governance
- Fluent English
- Experience coaching and mentoring colleagues
- Ability to expand automation and agentic workflows, including requirements definition, testing, user acceptance testing, and adoption
- Bachelor's degree or equivalent
- Typically 7–12 years of relevant structured finance experience, including RMBS and ABS analysis
- Final-stage candidates are required to attend at least one in-person interview
- Employees are required to work from the office at least two days per week
Priekšrocības
- Health coverage supporting mental and physical wellbeing
- Generous paid time off
- Ongoing learning and career development resources
- Competitive compensation
- Retirement planning
- Continuing education program with company-matched student loan contributions
- Financial wellness programs
- Family benefits and perks
- Retail discounts
- Referral incentive awards