Fraud & Risk Data Scientist: ML, MLOps & Dashboards

Tech Aalto Pte Ltd; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

Tech Aalto Pte Ltd in Singapore is seeking a data science professional with 3–5 years hands-on experience in data science, advanced analytics, and model validation. You will develop and validate predictive and risk-scoring models, and work with fraud/risk analytics to provide actionable insights.

Responsibilities include transforming business requirements into analytical specifications, handling large-scale datasets, and building reproducible workflows using Python and SQL.

Qualifications

• Degree in a quantitative discipline (Data Science, Statistics, Mathematics, CS, Engineering, Economics)
• 3–5 years hands‑on experience in data science, advanced analytics, model validation, fraud/risk analytics or programme analytics.

Skills

Python

SQL

Model development

Fraud/risk analytics

Data analysis

Analytical thinking

Education

Degree in Data Science/Statistics/Mathematics/CS/Engineering/Economics

Tools

Tableau

Spark/PySpark

AWS Redshift

AWS Glue

CI/CD

MLOps

Job description

Tech Aalto Pte Ltd in Singapore is seeking a data science professional with 3–5 years hands-on experience in data science, advanced analytics, and model validation. You will develop and validate predictive and risk-scoring models, and work with fraud/risk analytics to provide actionable insights.

Responsibilities include transforming business requirements into analytical specifications, handling large-scale datasets, and building reproducible workflows using Python and SQL.