Fraud & Risk Data Scientist: ML & Production Models

TECH AALTO PTE. LTD.; Singapore; On-site; SGD 70,000 - 140,000; Full time

Job summary

TECH AALTO PTE. LTD. seeks a data science professional to translate business needs into analytical solutions. You will build and validate predictive models for fraud and risk, work with large datasets, and develop dashboards to monitor performance.

Expect exposure to MLOps, production deployment, data quality and lineage, plus tools like Spark, PySpark and AWS Redshift. Singapore-based engagement preferred.

Qualifications

• Degree in Data Science, Statistics, Mathematics, CS, Engineering, Economics or related quantitative discipline.
• 3-5 years of hands-on data science, analytics, model validation or fraud/risk analytics experience.
• Strong hands-on proficiency in Python and SQL for data extraction, transformation and exploration.

Responsibilities

• Develop, validate or enhance predictive and risk models for fraud/detection.
• Translate business needs into analytical specifications and model logic.
• Work with large datasets, assess data quality and document assumptions.
• Design production model-monitoring approaches for drift and alerts.
• Build analytical dashboards using Tableau or equivalent.

Skills

Python

SQL

Data analysis

Predictive modelling

Fraud detection

Anomaly detection

Model validation

Dashboarding

MLOps

Spark

PySpark

AWS Redshift

Data quality

Data lineage

Education

Degree in Data Science or related quantitative field

Tools

Tableau

AWS Glue

Job description

TECH AALTO PTE. LTD. seeks a data science professional to translate business needs into analytical solutions. You will build and validate predictive models for fraud and risk, work with large datasets, and develop dashboards to monitor performance.

Expect exposure to MLOps, production deployment, data quality and lineage, plus tools like Spark, PySpark and AWS Redshift. Singapore-based engagement preferred.