Data Scientist

Unison Consulting; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A consulting firm in Singapore is seeking a Data Scientist with expertise in AML analytics. The role involves developing data models for AML detection and improving model performance. Candidates must have at least 5 years of experience and a strong proficiency in Python, including libraries like Pandas and Scikit-learn. Familiarity with the Vyntra platform is essential. This is an excellent opportunity to work on financial crime prevention initiatives.

Qualifications

• 5+ years of experience in Data Science or AML analytics.
• Strong proficiency in Python and relevant libraries.
• Mandatory experience with Vyntra platform for AML or fraud monitoring.

Responsibilities

• Develop and maintain data models and ML algorithms for AML detection.
• Analyze large datasets to identify suspicious patterns.
• Prepare analytical reports and dashboards for stakeholders.

Skills

Data Science

AML analytics

Python

Pandas

NumPy

Scikit-learn

Data visualization

SQL

ETL

Tools

Vyntra

Azure

AWS

GCP

Job description

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:

• 5+ 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.