Fraud Analytics Data Scientist: Risk Modeling

Astek Group; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Astek Group in Singapore seeks a mid to senior Data Scientist to enhance fraud analytics and risk modelling. You will validate models, calibrate thresholds, monitor performance and develop analytical solutions for public training grant schemes.

Responsibilities include backtesting, feature engineering, and building dashboards to track precision, recall, drift and alerts, while collaborating with data engineers and stakeholders.

Qualifications

• Minimum 4 years of experience in data science, analytics or model validation.
• Strong Python and SQL for data analysis and model development.
• Experience with predictive/risk models and fraud detection solutions.
• Ability to translate business requirements into analytical specifications.

Responsibilities

• Review, validate and optimize fraud detection models and thresholds.
• Develop scoring models and analytical features per requirements.
• Build dashboards to monitor model performance, drift and alerts.
• Analyze grant schemes and detect fraud risks in processes.
• Conduct EDA, data validation and anomaly investigations.
• Collaborate with stakeholders to translate needs into solutions.
• Maintain reproducible workflows and model documentation.

Skills

Python

SQL

Data analytics

Model validation

Fraud detection

Threshold calibration

Education

Bachelor's degree in Data Science / Statistics / Mathematics / CS

Tools

Tableau

Spark / PySpark

AWS Redshift / AWS Glue

Job description

Astek Group in Singapore seeks a mid to senior Data Scientist to enhance fraud analytics and risk modelling. You will validate models, calibrate thresholds, monitor performance and develop analytical solutions for public training grant schemes.

Responsibilities include backtesting, feature engineering, and building dashboards to track precision, recall, drift and alerts, while collaborating with data engineers and stakeholders.