Data Scientist for Risk Modeling

2 weeks ago


London, Greater London, United Kingdom Moody's Full time

At Moody's, we are a global leader in credit ratings and risk analysis. Our team is dedicated to developing innovative solutions that help our clients navigate the complexities of the financial markets.

We are seeking a highly skilled Data Scientist for Risk Modeling to join our team. This role will be responsible for developing cutting-edge software applications in generative AI and building innovative solutions that address the unique challenges faced by Moody's.

  • Develop production grade generative AI solutions, with a focus on large language models, to develop novel methods and techniques that can be applied to Moody's challenges.
  • Collaborate with cross-functional teams to define objectives, identify data sources, assist data collection process, and develop production grade software applications.
  • Design, implement, and validate machine learning algorithms and models; optimize and productionize their performance for real-world applications.

The ideal candidate will have a strong background in generative AI, with a focus on large language models and natural language processing. Proficiency in Python and experience with machine learning frameworks such as PyTorch or TensorFlow are required.

We offer a competitive salary of $140,000 - $160,000 per year, depending on experience, plus benefits including health insurance, 401(k) matching, and generous paid time off.



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