Fraud & Risk Analyst

The position reports to the Head of Fraud Risk Management.

We are seeking a highly skilled and analytical Fraud & Risk Analyst to join our team. The ideal candidate will monitor transactions and activities to detect suspicious behavior, analyze data to identify fraud patterns, and investigate potential fraud cases. The candidate must have a strong background in system analytics and possess an analytical mindset to identify and mitigate fraudulent activities. Excellent communication and presentation skills are essential for this role.

Key Responsibilities:

• Monitor and analyze transactions and activities to detect suspicious behavior and potential fraud.
• Support to develop and to implement fraud detection strategies and their processes.
• Conduct thorough investigations of suspected fraud cases and document findings.
• Collaborate with cross-functional teams to enhance fraud prevention measures.
• Prepare detailed reports and presentations on fraud trends and investigation outcomes.

Team Collaboration:

• Work closely with other departments, including IT, Finance, and Operations, to ensure comprehensive fraud detection and prevention.
• Participate in regular team meetings to discuss ongoing cases and share insights.
• Provide training and support to team members on fraud awareness, detection techniques.
• Foster a collaborative environment to continuously improve fraud prevention strategies.

Skills Required:

• Advanced proficiency in data analysis and programming.
• Ability to develop and implement effective fraud detection techniques.
• Strong analytical skills, attention to detail
• Results oriented.
• Written and verbal communication skills in English.
• Robust programming skills and experience.
• Robust systems and database skills
• Robust Excel skills, SQL, Power BI

Education & Qualifications

• Bachelor's degree in Finance, Accounting, Computer Science, or a related field.
• Proven experience as a Fraud & Risk Analyst or in a similar role.
• Strong analytical skills with the ability to interpret complex data.
• Proficiency in using analytical tools and software (e.g., SQL, Excel, SAS, Power BI, coding programs).
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• High level of integrity and attention to detail.

Preferred Qualifications:

• Knowledge of regulatory requirements related to fraud prevention.
• Programming, database management and trends analysis.
• Experience with fraud detection systems and software is a plus.
• Certification in fraud examination (e.g., CFE) is optional.