Research Engineer I (AI/Computer Science/FinTech)

NANYANG TECHNOLOGICAL UNIVERSITY

Singapore
Deep learning architecture implementation
Nlp and large language model deployment
Python programming proficiency
The role involves designing and deploying credit risk and fraud prediction models using advanced deep learning techniques

Job Summary

  • The role involves designing and deploying credit risk and fraud prediction models using advanced deep learning techniques.
  • Candidates will build and optimize LLM-powered solutions specifically for risk management and behavioral analysis within the banking sector.
  • The position requires collaborating with cross-functional teams to integrate AI solutions into production systems for real business impact.

Matching Summary

Match Score: 85

The role involves designing and deploying credit risk and fraud prediction models using advanced deep learning techniques.

Skills & Requirements

Must-have

  • Deep learning architecture implementation
  • NLP and large language model deployment
  • Python programming proficiency
  • Credit risk and fraud modeling
  • RAG workflow development

Nice-to-have

  • Experience in financial engineering
  • Knowledge of derivatives and econometrics
  • Strong research and problem-solving skills
  • Multimodal modeling expertise
  • Prompt engineering capabilities

Key Requirements

  • Bachelor's degree in AI, Computer Science, or FinTech
  • Strong statistical background required
  • Proficiency with BERT, LSTM, and GRU architectures

Work Rights

Not specified

Tailored Resume

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