Data Scientist/Model Developer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables.

Data Scientist/Model Developer will be responsible for development, enhancement, and statistical testing of AI/ML and GenAI models and objects within AML transaction monitoring system in Citi. This position requires ability to process transactional data and execute complex statistical analyses, data visualizations and algorithm simulations.

Strong background in data analysis, data processing including Python, SQL and Big Data solutions is required.

Very good written and verbal communication skills in English are necessary

Responsibilities:

• Develops, enhances, and executes ongoing monitoring of AI/ML and GenAI models and objects within AML transaction monitoring system.
• Manages model across the model life-cycle including model development, ongoing performance evaluation and annual model reviews.
• Produces analytics and reporting used to manage risk for Citi's operations.
• Translates operational requests from the business into programming and data criteria and conduct systems and operational research in order to model expected results.
• Assists in the development of analytic engines for transaction monitoring system.
• Communicates results to diverse audiences.
• Conducts analysis and packages it into detailed technical documentation report for validation purposes sufficient to meet regulatory guidelines and exceed industry standards.
• Identifies modeling opportunities that yield measurable business results.
• Manages stakeholder interaction with model developers, model validators and business owners during the model life-cycle.
• Provides effective challenge to data quality and reliability, to model assumptions, mathematical formulation, and implementation.
• Contributes to strategic, cross-functional initiatives within the AML organization.
• 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.

Recommended Qualifications:

• 6+ years of experience
• 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
• Self-motivated and detail oriented
• Demonstrated project management and organizational skills and capability to handle multiple projects at one time
• Experience in a quantitative role in risk management at a financial institution with experience in either model development or validation
• Good knowledge and understanding of a variety of model development and validation testing techniques covering risk models
• Knowledgeable in methodology for statistical and AI/ML models development and maintenance
• Aware of regulatory expectations related with statistical and AI/ML models, knowledgeable in Citi Risk appetite and how to apply it in model development
• Knowledgeable in Model Risk Management requirements for AI/Machine Learning and GenAI models (development and ongoing performance).
• Relevant programming experience with data analysis, data processing including Python, SQL and Big Data solutions
• Experience with deep learning frameworks like Tensor Flow, Py Torch, or Keras.
• Demonstrated expertise with scikit-learn, XGBoost, LightGBM, and other commonly used ML libraries.
• Strong skills in data manipulation and analysis using Pandas, Num Py, and SQL

Education:

• Master/University degree in statistics, computer science, quantitative economics, mathematics, or related fields

Temporary role for 15 months.

Job Family Group:

Risk Management

Job Family:

Model Development and Analytics:

Time Type:

Full time

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.

Other Relevant Skills

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

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