**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
**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.
Key Responsibilities:
- Work together with other areas of the Bank (Pricing, Modeling, Product, Segment, Risk, Behavioral Economics, etc.) to design and implement tests within GCB.
- Through statistical techniques measure tests value to identify high impact opportunities and propose strategies that will prioritize business and customer growth translating into incremental revenues.




- Summarize key findings and present to top management.
- Structure, do and validate analysis from various sources/categories (demographic, financial, Credit Bureau, transactional, social media, etc.).
- Develop testing tools, which will help us automatize the process to have a better focus on understanding customers and products dynamics.
- Valuation and tracking of key initiatives.
Requirements/Qualifications:
- Intern’s in actuarial science, Mathematics, Engineering, Economics or related.
- 1+ years of work/academic experience closely with in statistics, financial analysis.
- English level: Intermediate
Skills/Competencies:
- Very strong analytical skills and statistical techniques understanding
- Ability to generate insights from numbers and translate them into actionable strategies
- Skills and interest in programming and statistical analysis (experience with SAS, SQL, R or Python preferred)
- Interest or experience in testing, sampling, predictive modeling or machine learning - preferred
- Negotiation, leadership, and communication (storytelling and data visualization) skills
- Document complex strategies and ML models for internal and external auditors.
- Advanced skills in Excel and Power Point
- Knowledge of consumer banking products - preferred
- Self-organized, collaborative, proactive and creative
- Interpersonal skills: ability to create synergies with other teams**Job Family Group**:
Decision Management
- **Job Family**:
Specialized Analytics (Data Science/Computational Statistics)
- **Time Type**:
Full time-
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📌 Banamex Intern Data Science (Ciudad de México)
🏢 Citi
📍 Ciudad de México