Senior Fraud Analytics Scientist: Model Risk & Dashboards

FPT Asia Pacific Pte Ltd; Singapore; Presencial; SGD 90.000 - 150.000; Jornada completa

Descripción de la vacante

FPT Asia Pacific Pte Ltd in Singapore is seeking experienced Data Scientists to maintain and expand fraud-risk analytics models used to detect potential misuse of public grants. You will review models, recalibrate thresholds and build performance dashboards to monitor effectiveness.

This hands-on role involves model validation, monitoring and collaboration with stakeholders to deliver reliable fraud detection solutions across programmes.

Formación

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related quantitative discipline.
• 3–5 years of hands-on experience in data science, advanced analytics, model validation, fraud/risk analytics or programme analytics.

Responsabilidades

• Review and recalibrate existing fraud detection models, methodologies and risk thresholds to improve detection accuracy and effectiveness.
• Conduct model back-testing, impact assessments and validation to evaluate model performance.
• Translate requirements into enhancements to fraud-risk indicators and analytical logic.
• Design, develop and enhance dashboards to monitor model performance (precision, recall, drift).
• Implement monitoring metrics, alert mechanisms and visualisations to identify performance deterioration.
• Collaborate with stakeholders to communicate findings and recommendations.
• Maintain documentation of methodologies, thresholds and decisions.

Conocimientos

Python

SQL

Predictive modeling

Fraud analytics

Model calibration

Data quality

Communication

Analytical thinking

Educación

Bachelor's degree in a quantitative field

Herramientas

Tableau

Apache Spark

PySpark

AWS Redshift

AWS Glue

CI/CD

Descripción del empleo

FPT Asia Pacific Pte Ltd in Singapore is seeking experienced Data Scientists to maintain and expand fraud-risk analytics models used to detect potential misuse of public grants. You will review models, recalibrate thresholds and build performance dashboards to monitor effectiveness.

This hands-on role involves model validation, monitoring and collaboration with stakeholders to deliver reliable fraud detection solutions across programmes.