Anti-Money Laundering Analyst at Safaricom Kenya

Reporting to the Principal Officer - Money Laundering Reporting Office, the role holder has the responsibility to ensure adherence to the organization’s anti money laundering (AML) and counter terrorist financing (CTF) controls. The person will also ensure that M-PESA services are offered in compliance with provisions of the Proceeds of Crime & Anti-Money Laundering Act, 2009.

Job Responsibilities                

• Implement adequate AML and CTF controls to ensure that all possible areas of AML & CTF concerns are covered.
• Perform ongoing Know Your Customer/Partner reviews to ensure compliance with applicable laws, regulations and the company policy.
• Maintain an effective AML awareness program across the company.assess effectiveness and address emerging risks.
• Perform periodic review of the due diligence and training programs to 
• Update weekly, monthly and quarterly reports on the state of AML program and implement the feedback provided.
• Proactively identify risks in the assigned projects and follow up on implementation of agreed mitigation controls.
• Report control weaknesses or lapses to the line manager in a timely manner, recommend mitigation controls or process changes and follow up implementation of agreed actions.
• Follow up for timely implementation of recommendations made by Internal and External auditors.
• Ensure that AML procedures and processes are in line with regulatory requirements.
• Maintain detailed knowledge of current AML regulations and keep track of developments within the AML scope.
• Maintain strong working relationship with internal stakeholders such Channels, Sales & Distribution, Financial Services, Enterprise Business Unit, Corporate Affairs and Consumer Care to ensure that compliance issues are regularly discussed and addressed.

QUALIFICATIONS

• Bachelor’s degree or its equivalent
• Good knowledge of payment services and operations
• Knowledge of money laundering techniques and regulations
• Experience in working with Server Query Language (SQL) and analysing large volumes of data
• Results oriented, effective communicator and a team player eager to learn and share experiences
• Skills in big data analytics or robotic process automation will be an added advantage