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BANAMEX Data Science Senior Analyst

ExperiencedNo visa sponsorship
Citi logo

at Citi

Bulge Bracket Investment Banks

Posted 13 days ago

No clicks

**Senior Data Science Analyst at BANAMEX** - Sr. role driving risk analysis, model development, and strategic insights using data science. - Key skills: SAS, SQL, Python, statistical analysis, model validation, predictive modeling, data mining. - 5-8 years' experience. Proficient in MS Office, strong written/verbal comms, self-motivated. - Full-time, on-site, Ciudad De Mexico. Apply now.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Mexico

Full Job Description

BANAMEX Data Science Senior Analyst

Apply (opens in new window)
Save
Job Req Id:
26957322
Location(s):
Ciudad De Mexico, Ciudad De Mexico, Mexico
Job Type:
On-Site/Resident
Posted:
Apr.. 29, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

The Model/Anlys/Valid Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits

  • Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.



  • Responsibilities: Recommended Qualifications: Education:
    • Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model related policies.
    • Conducts statistical analysis for risk related projects and data modeling/validation.
    • Applies quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language.
    • Prepares statistical and non-statistical data exploration, validate data, identify data quality issues.
    • Conducts data analysis, data mining, understand and create formal statistical documentation, reports and work with Technology to address issues.
    • Analyzes and interprets data reports, make recommendations addressing business needs.
    • Uses Predictive modeling methods, Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences; create formal documentation using statistical vocabulary.
    • Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results.
    • Validates assumptions; escalate identified risks and sensitive areas in methodology and process.
    • Automates data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes, and provide documentation and presentations.
    • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
    • 5-8 years experience
    • Proficient in Microsoft Office with an emphasis on MS Excel
    • Consistently demonstrates clear and concise written and verbal communication skills
    • Self-motivated and detail oriented
    • Demonstrated project management and organizational skills and capability to handle multiple projects at one time
    • Bachelors/University degree or equivalent experience

Objetivo del Puesto

Desarrollar, mejorar y validar modelos estadsticos y mtodos avanzados de anlisis de riesgo (crdito, mercado y operativo), transformando anlisis complejos y grandes volmenes de datos en insights estratgicos que soporten decisiones de negocio, cumplimiento regulatorio y optimizacin de procesos de riesgo.

Descripcin del rea

El rea es responsable del desarrollo de nuevos modelos estadsticos para riesgo de crdito, con dos responsabilidades clave:

Desarrollo tcnico del modeloDocumentacin, validacin y proceso de aprobacin

El rol requiere alto dominio tcnico, fuerte base estadstica y capacidad de codificar, documentar y explicar modelos de manera estructurada.

Responsabilidades Principales

  • Desarrollar, mejorar y validar y anlisis de riesgo para:
    • Riesgo de crdito
    • Riesgo de mercado
    • Riesgo operativo
  • Disear, validar y definir estrategias de uso de modelos de puntaje y polticas asociadas.
  • Realizar anlisis estadsticos avanzados para proyectos de:
    • Riesgo
    • Validacin
    • Modelacin de datos
  • Aplicar tcnicas de anlisis de datos cualitativos y cuantitativos utilizando:
    • Python
    • SAS
    • SQL
  • Realizar exploracin de datos estadsticos y no estadsticos:
    • Validacin de datos
    • Identificacin de problemas de calidad
  • Desarrollar modelos predictivos y tcnicas de data mining.
  • Analizar e interpretar resultados y traducirlos en recomendaciones estratgicas.
  • Documentar modelos, supuestos, riesgos identificados y reas sensibles bajo un lenguaje estadstico formal.
  • Automatizar procesos de extraccin y reprocesamiento de datos.
  • Disear y mantener procesos complejos de manipulacin de datos.
  • Colaborar con Tecnologa para resolver problemas de datos y procesos.
  • Optimizar sistemas de monitoreo y presentar resultados ante audiencias no tcnicas.
  • Evaluar adecuadamente el riesgo en la toma de decisiones, asegurando cumplimiento regulatorio y tico.

Prioridades del Rol

Analytics estadstico sobre la dataDesarrollo y generacin de cdigoTcnica estadstica del modeloLgica y entendimiento del negocio

------------------------------------------------------

Job Family Group:

Risk Management

------------------------------------------------------

Job Family:

Model Development and Analytics

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

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.

------------------------------------------------------

Other Relevant Skills

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

------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi (opens in new window).

View Citis EEO Policy Statement (opens in new window) and the Know Your Rights (opens in new window) poster.

Apply (opens in new window)
Save

BANAMEX Data Science Senior Analyst

Compensation

Not specified

City: Not specified

Country: Mexico

Citi logo
Bulge Bracket Investment Banks

13 days ago

No clicks

at Citi

ExperiencedNo visa sponsorship

**Senior Data Science Analyst at BANAMEX** - Sr. role driving risk analysis, model development, and strategic insights using data science. - Key skills: SAS, SQL, Python, statistical analysis, model validation, predictive modeling, data mining. - 5-8 years' experience. Proficient in MS Office, strong written/verbal comms, self-motivated. - Full-time, on-site, Ciudad De Mexico. Apply now.

Full Job Description

BANAMEX Data Science Senior Analyst

Apply (opens in new window)
Save
Job Req Id:
26957322
Location(s):
Ciudad De Mexico, Ciudad De Mexico, Mexico
Job Type:
On-Site/Resident
Posted:
Apr.. 29, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, youll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

The Model/Anlys/Valid Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits

  • Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.



  • Responsibilities: Recommended Qualifications: Education:
    • Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model related policies.
    • Conducts statistical analysis for risk related projects and data modeling/validation.
    • Applies quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language.
    • Prepares statistical and non-statistical data exploration, validate data, identify data quality issues.
    • Conducts data analysis, data mining, understand and create formal statistical documentation, reports and work with Technology to address issues.
    • Analyzes and interprets data reports, make recommendations addressing business needs.
    • Uses Predictive modeling methods, Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences; create formal documentation using statistical vocabulary.
    • Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results.
    • Validates assumptions; escalate identified risks and sensitive areas in methodology and process.
    • Automates data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes, and provide documentation and presentations.
    • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
    • 5-8 years experience
    • Proficient in Microsoft Office with an emphasis on MS Excel
    • Consistently demonstrates clear and concise written and verbal communication skills
    • Self-motivated and detail oriented
    • Demonstrated project management and organizational skills and capability to handle multiple projects at one time
    • Bachelors/University degree or equivalent experience

Objetivo del Puesto

Desarrollar, mejorar y validar modelos estadsticos y mtodos avanzados de anlisis de riesgo (crdito, mercado y operativo), transformando anlisis complejos y grandes volmenes de datos en insights estratgicos que soporten decisiones de negocio, cumplimiento regulatorio y optimizacin de procesos de riesgo.

Descripcin del rea

El rea es responsable del desarrollo de nuevos modelos estadsticos para riesgo de crdito, con dos responsabilidades clave:

Desarrollo tcnico del modeloDocumentacin, validacin y proceso de aprobacin

El rol requiere alto dominio tcnico, fuerte base estadstica y capacidad de codificar, documentar y explicar modelos de manera estructurada.

Responsabilidades Principales

  • Desarrollar, mejorar y validar y anlisis de riesgo para:
    • Riesgo de crdito
    • Riesgo de mercado
    • Riesgo operativo
  • Disear, validar y definir estrategias de uso de modelos de puntaje y polticas asociadas.
  • Realizar anlisis estadsticos avanzados para proyectos de:
    • Riesgo
    • Validacin
    • Modelacin de datos
  • Aplicar tcnicas de anlisis de datos cualitativos y cuantitativos utilizando:
    • Python
    • SAS
    • SQL
  • Realizar exploracin de datos estadsticos y no estadsticos:
    • Validacin de datos
    • Identificacin de problemas de calidad
  • Desarrollar modelos predictivos y tcnicas de data mining.
  • Analizar e interpretar resultados y traducirlos en recomendaciones estratgicas.
  • Documentar modelos, supuestos, riesgos identificados y reas sensibles bajo un lenguaje estadstico formal.
  • Automatizar procesos de extraccin y reprocesamiento de datos.
  • Disear y mantener procesos complejos de manipulacin de datos.
  • Colaborar con Tecnologa para resolver problemas de datos y procesos.
  • Optimizar sistemas de monitoreo y presentar resultados ante audiencias no tcnicas.
  • Evaluar adecuadamente el riesgo en la toma de decisiones, asegurando cumplimiento regulatorio y tico.

Prioridades del Rol

Analytics estadstico sobre la dataDesarrollo y generacin de cdigoTcnica estadstica del modeloLgica y entendimiento del negocio

------------------------------------------------------

Job Family Group:

Risk Management

------------------------------------------------------

Job Family:

Model Development and Analytics

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

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.

------------------------------------------------------

Other Relevant Skills

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

------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi (opens in new window).

View Citis EEO Policy Statement (opens in new window) and the Know Your Rights (opens in new window) poster.

Apply (opens in new window)
Save