Citi Group Data Scientist Jr 

Mexico, Mexico City 

548654924

Responsibilities:

• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
• Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
• Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
• Incumbents in this role may often be referred to as Data Scientists
• Specialization in marketing, risk, digital and AML fields possible
• 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.

Qualifications:

• Previous related experience preferred
• Have the ability to retrieve and manipulation data
• Working experience in a quantitative field
• Possess analytic ability and problem solving skills
• Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment

Education:

• Bachelors/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Breve descripción del rol:

Estará trabajando en el área de campañas de crédito, trabajar con las diferentes áreas para recibir requerimientos, y colaborar con la ejecución.

Requisitos/calificaciones:

• Licenciatura en matemáticas, informática, ingeniería, ciencias actuariales, economía u otro campo cuantitativo.
• Conocimientos básicos de programación en SQL, Python, Pyspark, Excel. SAS.

Habilidades:

• Fuertes habilidades analiticas
• Capacidad para traducir números en estrategias viables.
• Capacidad para detectar tendencias y atención al detalle.
• Autoorganizado, colaborativo, proactivo y creativo.
• Habilidades interpersonales; Capacidad para crear sinergias con otros equipos.
• Habilidades de comunicación.
• Gestión de proyectos; Conocimientos ágiles y Scrum: deseables
• Habilidades avanzadas en Excel y Power Point.

Time Type:

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