




Job Summary: Drive business impact through data analytics solutions by identifying opportunities, developing models, and communicating insights. Key Highlights: 1. Transform challenges into opportunities at the Data and Analytics Center of Excellence (CoE) 2. Drive business impact with data analytics solutions 3. Develop predictive and prescriptive models using machine learning **Credicorp Capital** invites you to Turn Challenges into Opportunities and join us as our next **Data Scientist \- Risk** for the **Data and Analytics CoE.** **Mission:** Deliver business impact through the implementation of data analytics solutions. **Key Responsibilities:** * Identify analytical opportunities aligned with business needs. * Access, transform, and analyze data from diverse sources. * Design and execute analytical experiments. * Effectively communicate analytical findings by tailoring messages to various business stakeholders through visualizations and storytelling. * Develop predictive and prescriptive models applying machine learning or optimization techniques, based on backlog use cases. * Monitor model performance in production and associated metrics, proposing adjustments or retraining when necessary. * Document processes and models. **Application Requirements:** * University graduate or bachelor's degree in Statistics, Systems Engineering, Mathematics, Economics, or related fields. * Preferred: Certification programs or master’s degree in Data Science or Artificial Intelligence. * Minimum of 4 years’ general experience in data and analytics or related areas. * Minimum of 2 years’ 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, and data visualization libraries). * Advanced proficiency in SQL. * Proficiency in visualization tools such as Power BI or similar. * Knowledge of Databricks and Azure. ***This posting is open to persons with disabilities.***


