- 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.
- 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
- 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
- Bachelors/University degree or equivalent experience
- 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.
- 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%
- 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
Business Analytics Analyst - Mexico City, México - Citi
Descripción
Team/Function Overview:
Use Cases is a cross-sectional area within Data and Analytics dedicated to high impact projects that are a priority for the business. Based on cross-functional teams (with Product, Segment, Risk, Behavioral Economics, etc.) we analyze, design and implement new strategies through an Agile methodology, characterized by flexible self-organized teams, with constant delivery of results.
Key Responsibilities:
Qualifications:
Skills/Competencies:
Education:
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Use Cases is a cross-sectional area within Data and Analytics dedicated to high impact projects that are a priority for the business. Based on cross-functional teams (with Product, Segment, Risk, Behavioral Economics, etc.) we analyze, design and implement new strategies through an Agile methodology, characterized by flexible self-organized teams, with constant delivery of results.
Key Responsibilities:
Requirements/Qualifications:
Skills/Competencies:
Job Family Group:
Decision Management
Job Family:
Specialized Analytics (Data Science/Computational Statistics)
Time Type:
Full time