Data Scientist and Model Developer, Vice President (Contract)

The Data Scientist and Model Developer role is a strategic professional who stays abreast of developments within the field and contributes to directional strategy by considering their application in role and the business. Recognized as a technical authority within the business.

This role focuses on the development, enhancement, and statistical testing of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) models within Citi’s Anti‑Money Laundering (AML) transaction monitoring system. The position requires processing transactional data and executing complex statistical analyses, data visualizations, and algorithm simulations.

This is a temporary role, until the end of December2027.

Responsibilities

• Develops, enhances, and monitors AI/ML and GenAI models within the AML transaction monitoring system.
• Manages models across the life‑cycle, including development, ongoing performance evaluation and annual reviews.
• Translates business operational requests into programming and data criteria, conducts systems and operational research, and assists in developing analytic engines with detailed technical documentation for validation.
• Identifies modeling opportunities yielding measurable business results and presents recommendations to senior staff.
• Contributes to strategic, cross‑functional AML initiatives and independently leads large projects.
• Appropriately assesses risk in business decisions, prioritizing firm reputation and safeguarding Citigroup, clients, and assets, ensuring compliance with laws, rules, and regulations, and transparently escalating, managing, and reporting control issues.

Qualifications

• 5+ years of experience and strong Financial Crimes knowledge – AML model development requires a deep understanding of AML typologies and sophisticated detection scenarios.
• Consistently demonstrates clear and concise written and verbal communication skills.
• Proven project management and organizational skills and capability to handle multiple projects simultaneously.
• Experience in a quantitative role in risk management at a financial institution with experience in model development or validation.
• Comprehensive knowledge of statistical and AI/ML model development and maintenance methodologies, including risk models, and an understanding of relevant regulatory expectations and Citi’s Risk Appetite for model application.
• Strong programming experience for data analysis and processing using Python (including Pandas, NumPy), SQL, and Big Data solutions.
• Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras and commonly used ML libraries (scikit‑learn, XGBoost, LightGBM).
• University degree (Master or PhD) in statistics, computer science, quantitative economics, mathematics, or related fields.

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

View Citi’s EEO Policy Statement and the Know Your Rights poster.