Data Scientist (Vyntra)

Unison Consulting Pte Ltd; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A consulting firm based in Singapore is seeking a skilled Data Scientist specialized in Anti-Money Laundering (AML). The ideal candidate will have 6–10 years of experience in the Banking sector, strong proficiency in Python, and expertise in the Vyntra platform. Responsibilities include developing data models, analyzing suspicious patterns, and collaborating with compliance teams to enhance AML detection systems.

Qualifications

• 6–10 years of experience in Data Science or AML analytics in Banking/Financial Services.
• Proficiency in Python and data analysis libraries.
• Experience with Vyntra (NetGuardians) for AML.

Responsibilities

• Develop and maintain data models for AML detection.
• Analyze datasets to identify suspicious patterns.
• Work with teams to enhance Vyntra models.
• Automate data pipelines using Python.
• Prepare reports and dashboards for stakeholders.

Skills

Python

AML analytics

Data Science

Data visualization tools

Pandas

NumPy

Scikit-learn

SQL

Job description

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.