Data Scientist (Vyntra)

Unison Group; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A financial analytics company in Singapore is seeking a skilled Data Scientist specializing in Anti-Money Laundering. The ideal candidate will have 6-10 years of experience, strong skills in Python, and familiarity with AML systems, particularly Vyntra. Responsibilities include developing models for AML detection and analyzing behavioral patterns in large datasets. Excellent communication skills are essential for stakeholder management.

Qualifications

• 6-10 years of experience in Data Science or AML analytics within the Banking/Financial Services domain.
• Strong proficiency in Python and relevant libraries.
• Mandatory experience with Vyntra for AML or fraud monitoring.

Responsibilities

• Develop and maintain data models and ML algorithms for AML detection.
• Analyze large datasets to identify suspicious patterns.
• Implement and automate data pipelines and model deployment using Python.

Skills

Python

Pandas

NumPy

Scikit-learn

Data visualization tools

AML processes

KYC

SQL

ETL

Stakeholder management

Tools

Vyntra (formerly NetGuardians)

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