SAS Risk Management Specialist

leading-edge; Riyadh; On-site; SAR 279,000 - 446,000; Full time

Job summary

leading-edge is seeking a skilled SAS AML Risk Management Specialist to join our team. You will develop and implement AML risk models using SAS, analyze financial data to identify AML risks, and create reports to communicate insights to stakeholders.

The ideal candidate has strong analytical and problem-solving skills, with excellent communication and collaboration abilities to work with AML teams, senior management, and regulators. This is a full-time on-site role in Saudi Arabia.

Qualifications

• Bachelor's degree in Finance, Statistics, Mathematics, Computer Science, or related field.
• Strong experience with SAS programming including SAS/Base, SAS/STAT, SAS/ETS.
• Strong knowledge of AML principles including customer due diligence, transaction monitoring, and suspicious activity reporting.

Responsibilities

• Develop and implement AML risk management models using SAS to identify, assess, and mitigate AML risks.
• Analyze financial transactions using SAS to identify potential AML risks, including suspicious activity and patterns.
• Develop and implement customer risk assessment models using SAS to identify high-risk customers.
• Create reports and visualizations to communicate AML risk insights to stakeholders, including AML teams, senior management, and regulatory bodies.
• Collaborate with stakeholders to implement AML risk mitigation strategies and provide AML risk management recommendations.
• Stay updated on AML regulatory requirements and industry trends, ensuring that AML risk management models and processes are compliant with relevant regulations.

Skills

SAS programming

Analytical thinking

Communication

Collaboration

Education

Bachelor's degree in Finance/Statistics/Math/CS

Tools

SAS Base

SAS STAT

SAS ETS

Job description

Job Summary:

Our client is seeking a skilled SAS AML Risk Management Specialist to join their team. The successful candidate will be responsible for developing and implementing AML risk management models using SAS, analyzing financial data to identify potential AML risks, and creating reports to communicate risk insights. This role requires strong analytical and problem-solving skills, as well as excellent communication and collaboration skills.

Key Responsibilities:

• Develop and implement AML risk management models using SAS to identify, assess, and mitigate AML risks.
• Analyze financial transactions using SAS to identify potential AML risks, including suspicious activity and patterns.
• Develop and implement customer risk assessment models using SAS to identify high-risk customers.
• Create reports and visualizations to communicate AML risk insights to stakeholders, including AML teams, senior management, and regulatory bodies.
• Collaborate with stakeholders to implement AML risk mitigation strategies and provide AML risk management recommendations.
• Stay updated on AML regulatory requirements and industry trends, ensuring that AML risk management models and processes are compliant with relevant regulations.

Requirements:

• Bachelor's degree in Finance, Statistics, Mathematics, Computer Science, or a related field.
• Strong experience with SAS programming, including SAS/Base, SAS/STAT, and SAS/ETS.
• Strong knowledge of AML principles, including customer due diligence, transaction monitoring, and suspicious activity reporting.
• Strong analytical and problem-solving skills, with the ability to interpret complex data sets and develop effective AML risk management solutions.
• Excellent communication and collaboration skills, with the ability to work effectively with stakeholders and communicate complex AML risk insights in a clear and concise manner.