Lead Data Scientist Personal Banking and Wealth Analytics Vice President

The Lead Data Scientist 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. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. 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

Responsibilities:

• Designs and manages  vector databases  (e.g., FAISS, Pinecone, or similar) to support semantic search and contextual memory in AI agents.

• Collaborates with cross-functional teams to integrate AI agents into business processes, enhancing automation, decision-making, and user experience.

• Conducts advanced data analysis and visualization to extract actionable insights from structured and unstructured data sources.

• Stays current with emerging trends in generative AI, LLM orchestration , and agentic systems to continuously improve solution design.

• Develops complex data & analytical solutions using python, Pyspark, SQL to identify the compliance/regulation issues.

• Identifies the right data elements needed for the solution and able to distinguish the critical data element vs non-critical data element.

• Develops and implement AI-driven solutions using  Python, PySpark , and  LangChain , with a focus on  retrieval-augmented generation (RAG) architectures and  agentic workflows .

• Leverages  GCP Vertex AI , including  Gemini models , to build scalable machine learning and generative AI applications.

• 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.

• Assists system change process from requirements through implementation; provides user and operational support of application to business users.

• Assists in the formulation and definition systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.

• Communicates with 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.

• Communicate between business leaders and IT exhibiting sound and comprehensive communication and diplomacy skills to exchange complex information.

• 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.

• Performs other duties and functions as assigned.

Qualifications:

• 7-10 years experience in technology or data science area

• 6+ years in  data science, machine learning, and AI system development preferred

• Experience using tools for statistical modeling of large data sets

• Strong proficiency in  Python ,  PySpark , and  LangChain , with a portfolio of projects involving  RAG pipelines  and  agentic AI .

• Experience working with  GCP Vertex AI , especially  Gemini models , and deploying models in production environments preferred

• Familiarity with  vector databases  and their role in semantic search and memory for AI agents preferred

• Solid foundation in  data analytics , including statistical modeling, data wrangling, and visualization.

• Ability to translate complex technical concepts into business value and communicate effectively with both technical and non-technical stakeholders.

• Strong knowledge in data engineering and data base concepts, able to identify right data elements needed for the solution.

• Financial services industry work experience preferred

• Experience designing and deploying solutions using Python, Pyspark, generative AI and (or) agentic AI frameworks , with a deep understanding of modern data analytics pipelines preferred

• Ability to effectively use complex analytical, interpretive and problem solving techniques.

• Demonstrated interpersonal, verbal and written communication skills.

• Methodical attention to detail

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

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Job Family Group:

Risk Management

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Job Family:

Model Development and Analytics

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Time Type:

Full time

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Primary Location:

Irving Texas United States

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Primary Location Full Time Salary Range:

$125,760.00 - $188,640.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills

Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Mar 29, 2026

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

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