**Job Title:
Data Scientist - AML (Python / Vyntra / NetGuardians)**
**Location:
Singapore**
**Experience:
6-10 years**
*Job Description:*
We are looking for a highly skilled
Data Scientist
with strong experience in
Anti-Money Laundering (AML)
systems and expertise in
Python
to join our banking analytics team. The ideal candidate will have hands-on experience with
Vyntra (formerly NetGuardians)
for transaction monitoring and anomaly detection.
*Key Responsibilities:*
Develop, enhance, and maintain data models and machine learning algorithms for AML detection and financial crime prevention.
Analyze large datasets from multiple sources to identify suspicious patterns and behavior.
Work closely with AML compliance, business, and technology teams to fine-tune Vyntra/NetGuardians models.
Implement and automate data pipelines and model deployment using Python-based frameworks.
Evaluate and improve model performance through feature engineering, tuning, and retraining.
Prepare analytical reports and dashboards for stakeholders highlighting insights and risk indicators.
*Required Skills and Experience:*
6-10 years of experience in Data Science or AML analytics within the Banking/Financial Services domain.
Strong proficiency in Python, Pandas, NumPy, Scikit-learn, and data visualization tools.
Mandatory experience with Vyntra (formerly NetGuardians) platform for AML or fraud monitoring.
Deep understanding of AML processes, KYC, transaction monitoring, and financial crime compliance.
Experience working with large-scale structured and unstructured data sets.
Familiarity with SQL, ETL, and data warehouse concepts.
Excellent communication and stakeholder management skills.
*Good to Have:*
Exposure to cloud-based analytics platforms (Azure, AWS, or GCP).
Experience integrating AML systems with other data sources or case management tools.
Knowledge of model governance, explainability (XAI), and regulatory reporting standards