20 hours ago
Base Salary
$158k - $160k/yr
Responsibilities
- Develop and enhance AI and machine learning models for transaction classification, sanctions screening, alert disposition, and risk-compliance workflows.
- Design LLM- and agent-based architectures, including LangGraph orchestration frameworks for multi-step reasoning, document analysis, and task execution.
- Build automated model training, evaluation, performance tracking, reporting, validation, and monitoring frameworks.
- Develop and maintain ETL pipelines for transaction data, including data validation, preprocessing, augmentation, and ingestion experimentation.
- Perform model optimization, root cause analysis, statistical analysis, anomaly detection, and classification-error analysis.
- Evaluate algorithms including random forests, decision trees, SVM, XGBoost, Naive Bayes, LSTM, CNN, and other neural networks.
- Deploy, release, and implement machine learning and data-processing systems in enterprise production environments.
- Prepare technical documentation and validation materials and follow model governance, risk management, audit, and regulatory standards.
- Collaborate with cross-functional teams to translate regulatory and operational requirements into production-ready solutions.
Requirements
- Requires a master's degree or foreign equivalent in computer science, data science, engineering, statistics, mathematics, or a related quantitative field and three years of relevant experience.
- Alternatively, requires a bachelor's degree or foreign equivalent in the stated fields and five years of specified progressive, post-baccalaureate experience.
- Requires experience with machine learning model development and lifecycle management, deep learning and LSTM networks, MLOps pipelines, risk analytics, AI ETL pipelines, statistical analysis, experimental design, model performance analysis, and root cause analysis.
- Requires experience with large-scale data processing, model validation and governance frameworks, sanctions screening, and enterprise deployment, release management, and production implementation.
- Requires Python, SQL, Oracle, REST APIs, Linux/Unix, Git, LightSpeed, and Autosys experience.
Benefits
- Hybrid telecommuting may be permitted within a commutable distance of the Tampa worksite, subject to Citi policies and protocols.
- Benefits may include medical, dental, and vision coverage; 401(k); life, accident, and disability insurance; wellness programs; paid vacation, sick leave, and holidays.
- Eligible employees may receive discretionary and formulaic incentive and retention awards.
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About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.