Applications Development Senior Programmer Analyst

Citigroup Inc.; Tampa (FL); Hybrid; USD 158,000 - 160,000; Full time

Job summary

Citibank, N.A. in Tampa, FL seeks an Applications Development Senior Programmer Analyst to design and implement AI solutions for sanctions screening within enterprise banking systems.

You will work with Python, SQL, Oracle, REST APIs, Linux/Unix, Git, LightSpeed and Autosys to build models, ETL pipelines, and reporting frameworks, collaborating with cross-functional teams in an Agile environment.

Qualifications

• Master’s degree (or foreign equivalent) in Computer Science, Data Science, Engineering, Statistics, Mathematics, or related field.
• 3 years of experience in AI/ML systems or related role; 5 years with a Bachelor’s.
• Experience with ML model development lifecycle, NLP techniques and LLM applications.
• Proficiency with Python, SQL, Oracle, REST APIs, Linux/Unix, Git, LightSpeed, and Autosys.
• Experience in sanctions screening or enterprise banking is a plus.

Responsibilities

• Develop and enhance AI models for transaction classification.
• Design LLM-based and multi-step AI reasoning architectures.
• Build ETL pipelines and data validation for AI workflows.
• Implement model monitoring, performance tracking and reporting.
• Collaborate with cross-functional teams and apply Agile methodologies.

Skills

AI/ML Systems

Python

SQL

Oracle

REST APIs

Linux/Unix

Git

LightSpeed

Autosys

LSTM

Education

Master's degree in CS/DS/Engineering

Bachelor's degree + 5 years experience

Tools

LightSpeed

Autosys

Git

Oracle

SQL

REST APIs

Linux/Unix

Job description

Citibank, N.A. seeks an Applications Development Senior Programmer Analyst for its Tampa, Florida location.

Duties: Develop and enhance Artificial Intelligence (AI) models for transaction classification. Design and implement AI solutions by leveraging large language models (LLMs) and agent-based architecture to automate and enhance sanctions screening risk and compliance workflows within enterprise banking systems. Design models for categorizing transaction data and building deep learning LSTM-based models for alert disposition. Design AI performance tracking frameworks. Develop AI model performance tracking and reporting frameworks. Use Python, SQL, Oracle, REST APIs, Linux/Unix, Git, LightSpeed and Autosys. Create platforms to monitor evaluation metrics and conduct statistical analysis on predictions. Perform model optimization and root cause analysis. Develop automated frameworks to identify underperforming models, analyze classification errors, and apply statistical inference techniques to detect data anomalies. Design and maintain ETL pipelines for seamless processing of raw transaction data. Implement data validation, and use A/B testing for optimal data ingestion. Collaborate to translate regulatory and operational requirements into production-ready technical solutions. Involved in building and automating model training and evaluation pipelines, including data preprocessing, augmentation and validation. Design automated reporting with interactive visualizations. Research cutting-edge AI techniques. Build foundational frameworks with LangGraph to enable sophisticated, multi-step AI reasoning and action systems. Collaborate with cross-functional teams. Apply Agile methodologies for integration and scalability of AI solutions. Develop orchestration frameworks that coordinate LLM services, business rules and application programming interfaces to enable multi-step reasoning, document analysis, and task execution across multiple platforms. Evaluate different algorithms including RF, Decision Trees, SVM, XGBoost, Naïve Bayes, and Neural Networks like LSTM, CNN. Evaluate and optimize system performance through controlled testing, prompt design, workflow tuning, and quantitative analysis to ensure reliable, accurate and consistent outcomes. Involved in deployment, release management, and production implementation of machine learning and data processing systems within enterprise environments. Prepare technical documentation and validation materials and follow internal governance and model risk management standards to meet audit and regulatory expectations. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Requirements: Requires a Master’s degree or foreign equivalent in Computer Science, Data Science, Engineering (any), Statistics, Mathematics or related quantitative field and 3 years of experience as Sr Software Engineer (AI/ML Systems), Machine Learning Engineer, AI Engineer, Data Scientist, Data Engineer, Analytics Engineer or related position involving designing and implementing machine learning and artificial intelligence solutions, including natural language processing techniques and emerging large language models applications, to automate and enhance sanctions screening risk and compliance workflows for the banking industry. Alternatively, will accept a Bachelor’s degree in the stated fields and 5 years of the specified progressive, post-baccalaureate experience. 3 years of experience must include: Machine Learning model development and lifecycle management; Deep Learning models, including sequence-based long short-term memory (LSTM) networks; MLOps automated model pipelines; Risk analytics; ETL pipeline development for AI; Statistical analysis and experimental design; AI model performance and root cause analysis; Large-scale data processing; Model validation and governance frameworks; Sanctions Screening domain; Deployment, release management, and production implementation of machine learning and data processing systems within enterprise environments; Python, SQL, Oracle, REST APIs, Linux/Unix, Git, LightSpeed, Autosys. EO Employer.

Wage Range: $157,851 to $159,723

Job Family Group: Technology

Job Family: Applications Development

Time Type:

Full time

Primary Location:

Tampa Florida United States

Primary Location Full Time Salary Range:

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.

Most Relevant Skills

Wholesale Lending Operations Management.

Other Relevant Skills

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

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

Illinois residents – AI Notice and Right

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.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.