**Responsibilities**:
- 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.
- 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.
- 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.
**Qualifications**:
- 5-8 years experience in business and data analysis, process improvement and project management
- Ability to effectively use complex analytical, interpretive and problem solving techniques.
- Demonstrated interpersonal, verbal and written communication skills.
- Methodical attention to detail
- Experience using tools for statistical modeling of large data sets
**Education**:
- Bachelor's/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.
- ** Description**
Education: Degree in Mathematics, Statistics, Data Science, or a related field.
Experience: 5-7 years of experience in data analysis, with a focus on AI models and credit risk. Experience in interpreting complex model results and providing actionable insights.
Skills: Proficiency in AI and machine learning techniques (e.g., Python, R). Strong analytical skills with the ability to interpret and present data effectively. Excellent communication skills for reporting findings and recommendations. Experience with data visualization and reporting tools.
- ** Functions / Responsibilities**
Perform advanced analysis using AI models to assess credit risk and predict adverse events.
Coordinate the integration of analytical results into decision-making processes.
Review and validate model results to ensure accuracy and relevance.
Collaborate with the modeling team to develop new techniques and enhance existing models.
Communicate analytical findings to senior management and provide data-driven recommendations.**Job Family Group**:
Technology
- **Job Family**:
Data Science
- **Time Type**:
Full time
- Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
View the "**EEO is the Law**" poster. View the **EEO is the Law Supplement**.
View the **EEO Policy Statement**.
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