Fraud and Risk Analyst at ITEX Integrated Services Limited

ROLE SUMMARY

• The post holder will be responsible for retrieving and analyzing data in relation to fraud investigations.
• They provide oversight, monitoring and reporting on financial crime risks and review Customer Accounts for prevention and detection of possible fraud situations.

JOB OBJECTIVE

Fraud Detection and Prevention:

• Develop and implement fraud detection models and scenarios
• Identify, investigate, and report potential fraud cases
• Monitor transaction data for suspicious patterns and anomalies.
• Conduct in-depth investigations of suspected fraudulent activities.
• Collaborate with cross-functional teams to identify and address fraud vulnerabilities.

Risk Assessment and Mitigation:

• Conduct risk assessments and identify potential risks
• Develop and implement risk mitigation strategies (including methodologies)
• Monitor and report on risk exposure (maintaining a universe for identified risk)

Data Analysis and Insights:

• Analyze large datasets to identify trends and patterns
• Provide insights and recommendations to management

Collaboration and Communication:

• Work with internal teams (e.g., product, engineering, customer support)
• Communicate findings and recommendations to stakeholders

Staying Up to Date:

• Stay current with industry trends, threats, and best practices
• Participate in training and professional development

REQUIREMENTS

Knowledge:

• Experience: 2+ years in fraud detection, risk management, or a related field
• Knowledge of fintech industry and regulatory environment

Skills:

• Strong analytical and problem-solving skills
• Proficiency in data analysis tools (e.g., Excel, SQL, Python, Tableau)
• Report writing and presentation
• Excellent communication and collaboration skills

Abilities:

• Ability to work under pressure
• Knowledge of regulatory requirements related to fraud prevention.
• Ability to maintain confidentiality and handle sensitive information.
• Experience with fraud detection systems and tools

QUALIFICATION

Educational Qualifications:

• Bachelor's degree in numeric, data, engineering, accounting, or computer science courses

Professional Certifications:

• Certified Fraud Examiner (CFE)
• Financial Risk Management (FRM)
• Chartered Financial Analyst (CFA)
• A good mix of certification in fraud analyses / management, risk, audit and data analytics.