Job Responsibilities:
Analyze large financial datasets to extract insights and support business decisions.
Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation).
Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance.
Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
Communicate findings and recommendations through reports, dashboards, and presentations.
Work with data engineers to ensure data quality and pipeline reliability.
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