Data Scientist and Model Developer, Vice President (Contract)

Data Scientist and Model Developer, Vice President (Contract)

A temporary role (till December 2027) for a high caliber professional with experience in AML model development, AI/ML and GenAI.

Location

Kuala Lumpur, Malaysia

Job Type

Hybrid

Job Overview

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on‑the‑job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Responsibilities

• Develops, enhances, and monitors AI/ML and GenAI models within the AML transaction monitoring system.
• Manages model across the life‑cycle including development, ongoing performance evaluation and annual model 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.
• Assesses risk in business decisions, prioritizing firm reputation and safeguarding Citi, clients, and assets; ensures compliance with laws, rules, regulations, internal policy and reports control issues.

Qualifications

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

EEO Statement

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other characteristic protected under 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, please review our accessibility resources. View Citi’s EEO Policy Statement and the Know Your Rights poster.