RCBC

Senior Data Scientist

Taguig, NCR, PH

9 days ago
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Summary

Job Summary

  • Responsible for credit analytics across consumer products applying business knowledge, advanced analytical techniques and tools to derive deeper insights, identify opportunities, assess
  • impact, recommend & implement actions for credit underwriting, portfolio actions, risk mitigation and asset quality. This role shall ensure that all credit analytics solutions being implemented, be it
  • in the Bank or with its third-party affiliates and/or partners, are aligned with the Bank's vision and strategies.

How will you contribute?

  • Supports Credit and Risk Analytics initiatives using world-class technology, tools and methodologies. The Division's work scope and capabilities shall cover the following:
  • 1. Develop, implement, validate and monitor credit models for acquisitions, behavior, collections and expected credit loss.
  • 2. Develop analytic framework for credit initiatives.
  • 3. Analyze and recommend underwriting criteria.
  • 4. Perform portfolio analysis and recommend actions for better portfolio quality and portfolio growth.
  • 5. Develop and implement test programs to help optimize target market, product and offers.
  • Build business intelligence tools for self-service analytics.
  • Develop and implement tools for automated deployment of credit scores and actions.
  • Present and prepare credit analytics presentation
  • Continue to learn new tools and acquire advanced analytical skills to improve problem solving methodology.

What will make you successful?

  • Degree in Mathematics, Statistics, Computer Science, Management Information Systems, or related field
  • Hands on experience in Advanced Analytics.
  • Adequate exposure to the various areas of the Banking business with focus on credit products and leveraging data and analytics for problem solving and identifying opportunities.
  • Excellent communication, problem solving skills; ability to enable change and with passion for creating solutions; strong interpersonal skills; excellent project management and presentation skills.
  • Experience in banking, insurance, machine learning and deep learning algorithm, R, Python, Tensorflow, Keras, Jupyter, visualization and other related tools.

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