Subdirector de Data Engineering y Automatización, Citi

Citi

Ubicación:
Mexico, Ciudad De Mexico

Categoría:
TI - Desarrollo de Software

Tipo de contrato:
No proporcionado

Salario:

No proporcionado

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Descripción del trabajo:

Individuals in the Enterprise Risk Management are entrusted with managing the diverse and collective impact of the bank's risks. This involves identifying and managing enterprise-level and cross-cutting risks, designing scenarios for stress tests, managing climate risk, and safeguarding against reputational risk. This role is integral to the overarching objectives of the bank, as it ensures the bank's operations are within defined risk appetite and helps maintain financial stability.

Responsabilidades:

Review 1 LOD portfolio management processes and outcomes of CECL reserves calculation
Stay updated with developments within the field and contribute to the directional strategy
Provide technical expertise within the business and guide, influence, and convince colleagues in other areas
Deal with medium complex and variable issues with substantial potential impact
Provide advice and counsel related to the technology or operations of the business
Ensure work impacts an entire area
Lead the automation and optimization of data processes and dashboards supporting regulatory reporting and risk management
Design and implement pipelines and automated validations, reducing reliance on EUCs and manual tasks
Collaborate closely with Technology teams to translate business needs into reliable and production-ready solutions
Supervise and develop a small team of data engineers/analysts
Appropriately assess risk when business decisions are made

Requisitos:

6-10 years of experience
Solid knowledge of CECL reserve calculation
Proficient in risk management software and tools
Proven experience in credit risk management, preferably in a financial institution
Strong analytical skill
Ability to influence decisions and provide expert advice
Extensive knowledge of credit risk management principles and practices
Experience in managing a credit portfolio and calculating CECL reserves
Familiarity with regulatory requirements related to credit risk management
Experience in dealing with complex and variable issues with substantial potential impact
Excellent technical and analytical expertise to filter, prioritize, and validate potentially complex material from multiple sources
Strong communication and diplomacy skills to guide, influence, and convince others
Ability to balance potentially conflicting needs and weigh various alternatives
Proficiency in risk management software, tools, and databases
Ability to work effectively in a team and independently
Ability to work under pressure and meet tight deadlines
Bachelor's/University degree, Master's degree preferred
Advanced English
Educational background in Computer Science or related fields with a strong foundation in programming

Deseable:

Master's degree
Experience in automation and optimization of data processes and dashboards
Experience designing and implementing pipelines and automated validations
Experience collaborating with Technology teams
Supervisory experience with data engineers/analysts

Información adicional:

Oferta publicada:
15 de octubre de 2025

Tipo de empleo:

Tiempo completo

Tipo de trabajo:

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Subdirector de Data Engineering y Automatización