Job Description
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.