Data Scientist — Fraud & Risk Analytics

Avensys Consulting Pte Ltd; Singapore; On-site; SGD 130,000 - 170,000; Full time

Job summary

Avensys Consulting Pte Ltd is seeking a data scientist with 3-5 years of hands-on experience in data science, advanced analytics and model validation. The role emphasizes translating business requirements into analytical specifications, building predictive and fraud-detection models, and working with large, complex data sources.

The ideal candidate will have strong Python/SQL skills, experience with cloud data platforms such as AWS Redshift and Glue, and familiarity with model monitoring, CI/CD,

Qualifications

• Education: Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related quantitative discipline.
• Experience: 3-5 years of hands-on experience in data science, advanced analytics, model validation, fraud/risk analytics or programme analytics.

Responsibilities

• Develop, validate or enhance predictive, risk-scoring, fraud-detection or anomaly-detection models with feature development and back-testing.
• Translate business, policy or operational requirements into analytical specifications and measurable risk hypotheses.
• Work with large-scale datasets, assess data quality, document analytical assumptions and trace data lineage.
• Design or implement production model-monitoring approaches including data drift and alert thresholds.

Education

Degree in Data Science or related quantitative discipline

Tools

Python

SQL

Tableau

Spark/PySpark

AWS Redshift

AWS Glue

CI/CD

MLOps

Job description

Avensys Consulting Pte Ltd is seeking a data scientist with 3-5 years of hands-on experience in data science, advanced analytics and model validation. The role emphasizes translating business requirements into analytical specifications, building predictive and fraud-detection models, and working with large, complex data sources.

The ideal candidate will have strong Python/SQL skills, experience with cloud data platforms such as AWS Redshift and Glue, and familiarity with model monitoring, CI/CD,