Data Science Senior Analyst, Citi

Citi

Location:
Mexico, Ciudad De Mexico

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

Save Job

Apply Position

Job Description:

The Data Science Senior 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. 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.

Job Responsibility:

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
Impacts the business directly by ensuring the quality of work provided by self and others
impacts own team and closely related work teams
Considers the business implications of the application of technology to the current business environment
identifies and communicates risks and impacts
Drives communication between business leaders and IT
exhibits sound and comprehensive communication and diplomacy skills to exchange complex information
Performs other duties and functions as assigned
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
Design, plan and lead Machine Learning Models for credit and non-credit products, segments, and customer experience
Data cleansing
Feature engineering
Modeling (Machine learning and statistical models)
Model Documentation
Model Validation
Ongoing Monitoring
Delegate and supervise tasks as Database management & analysis
Responsible for management and administrative team work
Decision-making
Making proper and right decisions for problem development
Ability to see an entire concept, analyze and diagnose a problem, and find creative solutions
Teamwork. Ability to interact, work or relate effectively with other teams and communicate effectively.

Requirements:

Bachelor’s degree in mathematics, actuarial sciences, computer science, physics, engineering or equivalent
Master’s degree (Desirable)
4+ years of experience and skills managing and/or roles as leader
English level: Written and speaking advanced
3+ years of experience developing and implementing Machine Learning and classical statistical models: Linear regression, logistic regression, classification and regression trees, random forest, gradient boosting machine, etc.
Advanced Knowledge of data visualization techniques, exploratory analysis, multivariate statistics
Advanced level of programming languages and modeling software such as R, Python, Spark, SAS, SQL, and must embrace new technologies and analytical methodologies
Background and experience in advising internal and external customers about solutions will find a home in the Big Data world
Negotiation, leadership and communication (storytelling and data visualization) skills.

Additional Information:

Job Posted:
July 22, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

View All Jobs In This Company

Job Link Share:

Data Science Senior Analyst