Fraud Analytics Data Scientist — Models & Dashboards

EXCELTECH COMPUTERS PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

EXCELTECH COMPUTERS PTE. LTD. in Singapore invites a Data Scientist to join the Fraud Analytics Models (FAM) team within the Data Science and AI Division.

The role focuses on maintaining and expanding FAM 2.0, addressing methodology and threshold review backlog, and operationalising the FAM 2.0 Technical Dashboard. You will assess how new schemes can be brought within FAM 2.0's fraud-risk coverage, work with large datasets, and contribute to model validation and analytics initiatives with 3–5

Qualifications

• 3–5 years hands-on experience in data science, advanced analytics, model validation, fraud/risk analytics or programme analytics.
• Experience developing, validating or enhancing predictive, risk-scoring, fraud-detection or anomaly-detection models.
• Ability to translate business requirements into analytical specifications and indicators.

Responsibilities

• Maintain and expand FAM 2.0 within Fraud Analytics Models team.
• Address methodology and threshold review backlog.
• Build and operationalise the FAM 2.0 Technical Dashboard.
• Assess how new schemes can be progressively brought within FAM 2.0's fraud-risk coverage.

Skills

Python

SQL

Job description

EXCELTECH COMPUTERS PTE. LTD. in Singapore invites a Data Scientist to join the Fraud Analytics Models (FAM) team within the Data Science and AI Division.

The role focuses on maintaining and expanding FAM 2.0, addressing methodology and threshold review backlog, and operationalising the FAM 2.0 Technical Dashboard. You will assess how new schemes can be brought within FAM 2.0's fraud-risk coverage, work with large datasets, and contribute to model validation and analytics initiatives with 3–5