Description
Job Summary:
Drive business impact by implementing data analytics solutions, identifying opportunities, developing models, and communicating findings.
Key Highlights:
1. Drive business impact with data analytics solutions
2. Develop predictive and prescriptive models using machine learning
3. Communicate analytical findings effectively
**Credicorp Capital** invites you to Turn Challenges into Opportunities and join us as our next **Data Scientist \- Risk** for the **Data and Analytics Center of Excellence (CoE).**
**Mission:**
Generate 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.
* Communicate analytical findings effectively, tailoring the message to different business stakeholders through visualizations and storytelling.
* Develop predictive and prescriptive models using machine learning or optimization techniques, as required by 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.
* Postgraduate diplomas or master's degree in Data Science or Artificial Intelligence are desirable.
* Minimum of 4 years of general experience in data and analytics or related areas.
* Minimum of 2 years of experience in Risk Analytics, Credit Scoring, or Risk Modeling.
* Experience in the financial sector (banking, insurance, or investment) is desirable.
* Advanced proficiency in Python (libraries for deep learning, machine learning, and data visualization).
* 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.***