Chief Data Strategist

hace 1 mes


Xico, México Citi A tiempo completo

Job Overview


Citi is seeking a highly skilled Chief Data Strategist - Credit Risk Modeling Expert to join our team. This role will be responsible for developing and implementing advanced analytics models to assess credit risk and predict adverse events.



About the Role

This is a full-time position that requires a minimum of 5-8 years of experience in business and data analysis, process improvement, and project management. The ideal candidate will have a strong background in AI and machine learning techniques, including proficiency in Python and R.



Key Responsibilities


  • Perform advanced analysis using AI models to assess credit risk and predict adverse events.
  • Coordinate the integration of analytical results into decision-making processes.
  • Review and validate model results to ensure accuracy and relevance.
  • Collaborate with the modeling team to develop new techniques and enhance existing models.
  • Communicate analytical findings to senior management and provide data-driven recommendations.


The salary for this position is estimated to be around $120,000 - $180,000 per year, depending on location and experience.



Requirements

To be considered for this role, you will need to have:




  • A Bachelor's/University degree or equivalent experience in Mathematics, Statistics, Data Science, or a related field.
  • 5-7 years of experience in data analysis, with a focus on AI models and credit risk.
  • Experience in interpreting complex model results and providing actionable insights.
  • Proficiency in AI and machine learning techniques (e.g., Python, R).
  • Strong analytical skills with the ability to interpret and present data effectively.
  • Excellent communication skills for reporting findings and recommendations.
  • Experience with data visualization and reporting tools.


Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.



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