Main responsibilities:
- Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
- Collaboration in special analytics projects related to risk models.
- Ensure essential procedures are followed and help define operating standards and processes for data cleaning, data preparation, data ETL and model deployment.
- Design of Data architecture and re-design of existing frameworks to optimize functionality.
- Collaborate with modeling team in the development, implementation and monitoring of risk models. Prepare data for data scientist working in model development or data analysis.
- Explore alternative data sources for model development
- Effective interaction with other teams involved in the development and implementation of models (model developers, risk infrastructure team, data and final users).
- Remaining up-to-date with industry standards and technological advancements that will improve the quality of work
Knowledge and Experience
- Bachelor's degree in computer engineering, data engineering, or related field.
- Master's degree in a relevant field is a plus
- Proven experience as a data engineer, software developer or similar role.
- Good programming skills with expertise in SQL, SAS, Python, and scripting
- Ability to perform data analysis including writing traditional SQL queries in both Relational and NoSQL databases
- Proficient in written and spoken English
- Bachelor’s/University degree or equivalent experience
Lic. Informática, Actuaría, Matemáticas aplicadas,Computación o a fin.
Lenguajes de programación SAS, SQL, Python.
Experiencia en Data de 2 años en adelante.
Experiencia en riesgo de más de 5 años
Risk ManagementRisk Analytics, Modeling, and Validation
Time Type:
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