Data Scientist/Model Developer Job at Citi (Kuala Lumpur)

Data Scientist/Model Developer

Citi

Location:
Malaysia , Kuala Lumpur

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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

Job Responsibility:

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

Requirements:

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 TensorFlow, PyTorch, or Keras
Demonstrated expertise with scikit-learn, XGBoost, LightGBM, and other commonly used ML libraries
Strong skills in data manipulation and analysis using Pandas, NumPy, and SQL
Master/University degree in statistics, computer science, quantitative economics, mathematics, or related fields

Additional Information:

Job Posted:
April 23, 2026

Employment Type:

Fulltime

Work Type:

On-site work

Citi - All Job Offers

Job Link Share:

Data Scientist/Model Developer

Citi

Location:
Malaysia , Kuala Lumpur

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 23, 2026

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