Data Scientist (Vyntra)

Reposted 2 Days Ago
Be an Early Applicant
Singapore
In-Office
Senior level
Information Technology • Consulting
The Role
The Data Scientist will develop AML detection models, analyze datasets for suspicious patterns, automate data pipelines, and prepare reports for stakeholders.
Summary Generated by Built In
Job Title: Data Scientist – AML (Python / Vyntra / NetGuardians)Location: SingaporeExperience: 6–10 yearsJob 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.

Top Skills

AWS
Cloud-Based Analytics Platforms (Azure
Data Visualization Tools
ETL
Gcp)
Numpy
Pandas
Python
Scikit-Learn
SQL
Vyntra
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The Company
96 Employees
Year Founded: 2012

What We Do

Unison Consulting was launched in Singapore on September 2012, the hub of the financial industry, with innovative visions in the technocratic arena. We are a boutique next-generation Technology Company with strong business-interests in Liquidity risk, Market Risk, Credit Risk and Regulatory Compliance.

Unison provides technology consulting and services to implement Risk Management and Risk Analytics System for Financial Institutions. Our services suite comprises of Techno-Functional consulting, systems integration, Business Intelligence, information management, and custom development of IT solutions, plus project management expertise for financial institutions.

We have expertise in latest cutting edge technology to achieve better total cost of ownership. Through our qualified professionals, we assist you drive your unique risk management strategies, whether that means efficient monitoring, improving risk appetite of the financial institutions, complying with regulations, or capturing growth opportunities through innovation, this is what maximizes your decision taking potential. At Unison Consulting, we view clients as partners, and our success is only measured by the success of our partners. So we put it all on the table in order to exceed expectations.

Our staff consists of young, energetic and innovative consultants who are never afraid to challenge the conventions and push the boundaries in an effort to help our clients. For every project, no matter how large or how small, we strive to not only meet your needs, but deliver a showcase in your field

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