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MorningstarPosted 1 month ago

Structured Finance - ABS, Senior Analyst/ Assistant Vice President - New York

$97,854–$137,910 year

On-siteNew York, United States

Full TimeSenior LevelBachelors DegreeEnterprise

Job Summary

Analyze data to identify trends, risks, and key rating considerations for ABS transactions, preparing quantitative analysis, written summaries, and presentation content for rating committees. Support the development of rating methodologies, public disclosure documents, and regulatory reports while monitoring industry developments and summarizing market research. Contribute to research initiatives, process improvements, and automation projects across the ABS platform, coordinating with analytical, operations, and compliance functions. This role involves assigning and monitoring ratings within the Global Structured Finance team, offering exposure to securitization structures and credit analysis in a collaborative environment.

Required Qualifications

  • Bachelor's degree in Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or a related discipline
  • Relevant experience in structured finance, credit analysis, capital markets, financial services, research, data analytics, or a related field
  • Advanced proficiency in Microsoft Excel
  • Strong working knowledge of Microsoft Word and PowerPoint
  • Strong analytical, quantitative, and problem-solving skills
  • Ability to interpret and analyze large datasets and communicate findings effectively
  • Strong organizational skills with the ability to manage multiple priorities and deadlines
  • Excellent verbal and written communication skills
  • Detail-oriented with a commitment to producing high-quality work
  • Collaborative mindset and ability to work effectively in a team environment
  • Must be able to lift 50 lbs

Desired Qualifications

  • Experience working with databases, SQL, Python, R, VBA, or other analytical tools
  • Knowledge of structured finance, securitization, fixed income markets, or credit analysis
  • Experience with statistical analysis, regression techniques, data mining, or predictive modeling
  • Familiarity with financial modeling and performance data analysis
  • Progress toward or completion of professional designations such as CFA, FRM, or similar credentials

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