Hybrid Senior Assistant Vice President

Posted 3 months ago

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About the role

  • Senior Assistant Vice President leading machine learning model development for banking. Collaborating with cross-functional teams to drive innovative solutions and business benefits.

Responsibilities

  • Lead the development and deployment of machine learning models
  • Collaborate with cross-functional teams and provide technical leadership
  • Guide junior data scientists on best practices in model development and MLOps
  • Develop robust models to solve business problems and drive benefits
  • Support and review junior data scientists’ submissions
  • Manage queries raised by model validation teams and defend models
  • Continuously evaluate new tools, technologies, and frameworks relevant to ML in finance

Requirements

  • 8+ years in Retail banking
  • Strong business knowledge of banking analytics across the retail banking customer lifecycle
  • Master’s or Similar in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field
  • End-to-end hands-on ML solution development experience
  • Strong experience with model development, deployment and monitoring in production environments
  • Expert in Python, SQL, ML libraries (Numpy, Pandas, Scikit-learn, TensorFlow, PyTorch) and techniques (Regression, Decision Trees, Ensembles: XGBoost, GBM, Random Forest, Unsupervised Learning, etc.)
  • Excellent communication skills

Benefits

  • Health insurance
  • Flexible work arrangements
  • Professional development opportunities

Job title

Senior Assistant Vice President

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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