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Job Overview

The data engineer will be part of the Risk Modeling Unit providing support to the Mexico Consumer Risk team. The hire will be responsible for establishing Data Control Pipelines. The hire would contribute to building foundational data principles which Risk Modeling Unit is workings towards such as Data Quality, Data Security and Privacy, Data Storage and Operations, Data Warehouse, BI, Analytics and Reporting.

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 usersCollaboration 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 developmentEffective 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 plusProven 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 databasesProficient 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

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Job Family Group:

Risk Management

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Job Family:

Risk Analytics, Modeling, and Validation

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Time Type:

Full time

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Most Relevant Skills

Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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