Job Description

Key Responsibilities:

  • Analyze large financial datasets to extract insights and support strategic business decisions.
  • Develop, implement, and evaluate machine learning models and algorithms for banking and finance use cases, such as risk modeling, fraud detection, and customer segmentation.
  • Apply and fine-tune large language models (LLMs) for document analysis, customer communication, and regulatory compliance.
  • Deploy ML models to production environments and ensure pipeline reliability.
  • Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
  • Communicate findings, insights, and recommendations through reports, dashboards, and presentations.
  • Ensure compliance with regulatory requirements in banking and finance.
  • Follow Agile methodologies using tools such as JIRA or Rally.
  • Support data engineering efforts to maintain data quality and integrit...

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