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Data Scientist - Risk Analytics

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Graduated or holds a bachelor's degree in Statistics, Systems Engineering, Mathematics, Economics, or related fields. Desirable diplomas or master's degree in Data Science or Artificial Intelligence. Minimum of 4 years of general experience in data and analytics or related fields. At least 2 years of experience in Risk Analytics, Credit Scoring, or Risk Modeling. Preferred experience in the financial sector (banking, insurance, or investment). Advanced proficiency in Python (Deep Learning, Machine Learning libraries, and data visualization). Advanced SQL skills. Proficiency in visualization tools such as PowerBI or similar. Knowledge of Databricks and Azure.

About the job

Join Credicorp Capital and transform challenges into opportunities as our next Data Scientist - Risk Analytics for the Center of Excellence in Data and Analytics.


Mission:

Drive business impact through the implementation of data analytical solutions.


Main Responsibilities:

  • Identify analytical opportunities aligned with business needs.

  • Access, transform, and analyze data from various sources.

  • Design and execute analytical experiments.

  • Effectively communicate analytical findings, tailoring the message to various business profiles through visualizations and storytelling.

  • Develop predictive and prescriptive models using machine learning techniques or optimization based on backlog use cases.

  • Monitor the performance of production models and associated indicators, proposing adjustments or retraining when necessary.

  • Document processes and models.


Application Requirements:

  • Graduated or holds a bachelor's degree in Statistics, Systems Engineering, Mathematics, Economics, or related fields.

  • Desirable diplomas or master's degree in Data Science or Artificial Intelligence.

  • Minimum of 4 years of general experience in data and analytics or related fields.

  • At least 2 years of experience in Risk Analytics, Credit Scoring, or Risk Modeling.

  • Preferred experience in the financial sector (banking, insurance, or investment).

  • Advanced proficiency in Python (Deep Learning, Machine Learning libraries, and data visualization).

  • Advanced SQL skills.

  • Proficiency in visualization tools such as PowerBI or similar.

  • Knowledge of Databricks and Azure.


This announcement is open to individuals with disabilities.

About Credicorp Capital

Credicorp Capital is a leading financial services company in the region, dedicated to providing innovative solutions that drive value for its clients through data-driven insights and analytics.

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