Job Description

Key Responsibilities:


  • Analyze large volumes of structured and unstructured banking data to identify trends, patterns, and opportunities.

  • Develop and deploy machine learning models for use cases such as credit scoring, fraud detection, customer segmentation, and churn prediction.

  • Collaborate with business units to translate complex data findings into actionable insights and strategies.

  • Design and maintain dashboards and reporting tools to monitor key performance indicators (KPIs).

  • Ensure data quality, integrity, and compliance with banking regulations and data governance policies.

  • Work with IT and data engineering teams to optimize data pipelines and infrastructure.

  • Stay updated on the latest data science techniques, tools, and regulatory changes in the financial sector.
  • Qualifications:

  • Bachelor’s or Master’s degree in Data Science, Computer Sci...
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