
SAS Project Manager, AML/Fraud, English
GRADION
full-time
Posted on:
Location Type: Hybrid
Location: Bangkok • Thailand
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About the role
- Manage AML and fraud analytics projects using SAS tools, covering requirements, design, data integration, model deployment, and regulatory validation.
- Oversee full project lifecycles for SAS initiatives, emphasizing AML/fraud applications like transaction monitoring and risk scoring.
- Coordinate teams (business, data, IT, compliance) for SAS-driven AML/fraud solutions, including ETL, real-time detection, and documentation.
- Track KPIs (e.g., false positives, detection rates, ROI) and report progress to stakeholders.
- Support testing, training, and change management for AML/fraud systems
Requirements
- 3–5 years in IT/analytics project management, with 2+ years on SAS projects including AML/fraud in banking/finance.
- Proficiency in SAS tools (Base SAS, SAS AML, SAS Fraud Framework) and compliance technologies.
- Knowledge of AML regulations (e.g., Thailand AMLO), fraud patterns, and PDPA privacy standards.
- Proficient in both Thai and English (spoken and written), enabling effective communication and stakeholder engagement.
- Certifications in PMP, SAS AML/Fraud, or compliance frameworks.
- Experience with SQL, Python for fraud modeling, or core banking integrations.
Benefits
- A laptop is provided.
- Community Tech activities.
- A fun & dynamic environment and freedom to be creative.
- Modern office with a flexible, relaxing zone.
- Annual Performance bonus (up to 2-month salary).
- Performance review 2 times/ year.
- Group Healthcare insurance.
- SSO - social security office.
- 15 days of annual leave.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SASBase SASSAS AMLSAS Fraud FrameworkSQLPythonETLdata integrationmodel deploymentregulatory validation
Soft Skills
project managementteam coordinationstakeholder engagementcommunicationchange managementtestingtraining
Certifications
PMPSAS AML/Fraudcompliance frameworks