Citi Group Analista de Datos Jr Uses Cases 

Mexico, Mexico City 

823247

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:

• 0-2 years relevant experience
• Have the ability to retrieve and manipulation data
• Possess analytic ability and problem solving skills
• Working experience in a quantitative field
• Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
• Ability to build partnerships with cross-functional teams

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.

Key Responsibilities:

• Work together with other areas of the Bank (Product, Segment, Risk, Behavioral Economics, etc.) in order to design and implement new strategies within GCB.
• Identify high impact opportunities and propose strategies that will translate into portfolio growth and incremental revenues, through statistical techniques and models.
• Data analysis from various sources/categories (demographic, financial, Credit Bureau, transactional, social media, etc).
• Development of analytical tools which will help us to have a better understanding of our customers and the market.
• Valuation and tracking of key initiatives.

Requirements/Qualifications:

• Bachelor in Actuarial Science, Mathematics, Engineering, Economics or related (could be in the last semester).
• No professional experience is required.
• English level: at least 70%

Skills/Competencies:

• Strong analytical skills
• Ability to translate numbers into actionable strategies
• Skills and interest in programming and statistical analysis (experience with SAS, SQL, R and/or Python - desirable)
• Experience in data mining and predictive modeling – desirable
• Self-organized, collaborative, proactive and creative
• Negotiation, leadership and communication (storytelling and data visualization) skills are highly valued

Time Type:

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