Haifa Alghunaymi

1. Checks and monitor the daily reports and identify high risk transactions within the business portfolio and generate all required repdorts including activity reports and risk management reports for Managers.
2. Implementing and deploying preventive and detective fraud control activities to mitigate the risk of fraud events occurring or not being detected in a timely manner.
3. Checks and identify fraudulent transactions and cancel them from further processing.
4. Monitor constantly customer and transactional records to identify unauthorized transactions and fraudulent accounts by analyzing accounts and transaction patterns.

1. Experience in AML suspicious activity transaction monitoring systems, data mining/analytical tools, and KYC automated solution.
2. Compatibility with the most recent regulations and internal policies about financial fraud, Compliance financial security (sanctions, embargo).
3. Evaluate financial documents for accuracy and compliance with SAMA regulations.
4. Regional Risk Assessment, prepare analysis of results, and execute the AML risk responses including management and conduct of the AML monitoring and surveillance program.

1. Completing any changes related to operational aspects such as account processing, cash center support, chargeback coordination as well as credit cards, loans and mortgages processing in the bank in line with all regulations and compliance requirements.
2. Determine ways to cut costs and improve profitability.
3. Study and evaluate loan and mortgage requests for banks clients.
4. In depth financial analysis on clients accounts to offer exceptional loan & mortgages rates.

1. Filtering of payment transactions.
2. Screening of trade document and names.
3. Identify the financial risk of the bank and offer recommendations to reduce risk. 4. Completion of tasks for various business as per the regulatory guidelines.

1. Ability to handle surprise.
2. Conflict resolution.
3. Orders processing.
4. Decision making.

1. Conducting surveys over the phone or on paper to collect information about the people's opinion regarding a vision 2030.
2. Examining data, putting data points into a database.
3. Using statistical software to create a data model such as regression.
4. Conducting researches, and revising statistical data as needed.