Lead Data Scientist, Credit Analytics & AI

Moody's Investors Service

New York (NY)

Vor Ort

USD 133.000 - 192.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Moody’s Investors Service seeks a quantitative modeling expert to advance analytics across the Credit Center of Excellence. You will drive innovative approaches, leverage large financial datasets, and refine models with rigorous validation and governance.

The role requires strong econometrics, ML, and programming skills, plus experience communicating complex concepts to senior leaders. US-based, full-time with a competitive base salary and benefits.

Qualifikationen

  • Master’s or PhD in a quantitative field with 2 years of modeling experience.
  • Expertise in econometrics, statistics, ML, and appropriate method selection.
  • Strong communication, able to translate concepts to senior leaders.

Aufgaben

  • Drive quantitative modeling innovation within Moody's COE to enhance analytics globally.
  • Partner across Moody's lines to refine modeling frameworks and introduce new methods.
  • Build datasets from large financial and market sources; ensure data quality.
  • Re-estimate, recalibrate, and analyse model performance; update methodologies.
  • Choose traditional vs ML or hybrid approaches considering interpretability and data limits.
  • Produce clear model documentation supporting governance and transparency.
  • Communicate insights clearly to diverse audiences and stakeholders.
  • Contribute to multiple COE projects as priorities evolve.

Kenntnisse

Econometrics
Statistics
Machine Learning
Python
SQL
AI tools
Data wrangling
Communication

Ausbildung

Master's degree in quantitative field
Ph.D. preferred
CPA preferred

Tools

GitHub
Spark
Athena
Parquet
AWS/GCP/Azure

Jobbeschreibung

Moody’s Investors Service seeks a quantitative modeling expert to advance analytics across the Credit Center of Excellence. You will drive innovative approaches, leverage large financial datasets, and refine models with rigorous validation and governance.

The role requires strong econometrics, ML, and programming skills, plus experience communicating complex concepts to senior leaders. US-based, full-time with a competitive base salary and benefits.

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