Data Scientist C11

Key Skills

C++11 Programming, Data science techniques, Employee life cycle, Finance, Machine learning techniques, Microsoft-Excel, Powerpoint, Python Programming, R Programming, Sass, Scrum Agile Methodology, SPARK Programming, SQL

Job Description

Intermediate Business Analysis Analyst is a developing employee career role. Deals with most problems independently and has some latitude in solving complex problems. Integrates solid knowledge of the specialty area with a solid understanding of industry standards and practices. Has a good understanding of how the team and area interact with others to achieve subfunction or job grade objectives. Applies analytical thinking and knowledge of data analysis tools and methodologies. Demands attention to detail when making judgments and recommendations based on analysis of factual information. In general, he must deal with variable issues with broader potential impact on business. Applies professional judgment when interpreting data and results. Explains the information in a systematic and transmittable way. Developed communication and diplomacy skills are required to exchange potentially complex/sensitive information. It generates a moderate but direct impact through close contact with the main activities of the businesses. The quality and punctuality of the service provided will affect the efficiency of the own team and closely related teams.

Responsibilities:

• Collect operational data from various multi-disciplinary stakeholders to examine past business performance.
• Identifies data patterns and trends, and provides insights to improve business decision-making capabilities in business planning, process improvement, solution evaluation, etc.
• Recommends actions for future strategic business developments and opportunities, as well as operational policy enhancements.
• You may be involved in exploratory data analysis, confirmatory data analysis, or qualitative data analysis.
• Translate data into customer or consumer behavior insights to drive segmentation and targeting strategies, and clearly and effectively communicate all insights to business partners and senior leaders.
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities.
• Works closely with internal and external business partners to build, implement, monitor, and improve strategies related to decision making.
• Appropriately assess risk when making business decisions, demonstrating particular consideration for the company's reputation and protecting Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to policy, enforcing sound ethical judgment regarding personal behavior, conduct and business practices and escalating, managing and reporting control issues transparently

Ratings:

• Between 2 and 5 years of relevant experience.
• Advanced skills in process management, organized and detail-oriented personality.
• Curiosity to learn and develop new skill sets.
• Positive attitude with a dynamic mindset.

Education:

Bachelor's degree/university degree or equivalent experience.

At Citibanamex you can develop, implement and adjust analytical solutions that are automatic, replicable and scalable in different programming languages. And if you enjoy a work environment that promotes continuous learning and innovation. We have the best option for you!

Description:

DecisionScience is an area where we analyze large volumes of data from various sources, with innovative analysis techniques, combined with new technological platforms and state-of-the-art models, providing solutions or areas of opportunity for the business.

We design and implement new strategies in order to provide a better service to our clients, we develop strategies for consumer credit products and deposits, we propose and understand KPI's to present synthesized results to senior management.

Responsibilities:

• Analysis, development and implementation of models that improve the customer experience and with a high impact on the business.
• Responsible for compliance with the model development, validation, implementation and monitoring policy.
• Propose alternative and innovative sources of information
• Research to propose cutting-edge solutions regarding the life cycle of models.
• Conciliation and negotiation between the Bank's areas involved (Product, Segment, Risk, Finance, Cross sell, Overlap, Pricing, Modeling, Testing etc.)
• Identify high-impact opportunities and propose strategies that will translate into portfolio and Revenue growth, through advanced statistical models and techniques.
• Assessment and monitoring of high impact initiatives.
• summarize the findings