- Conduct complex P2P and TEC forensic audits and investigations to identify potential financial irregularities, fraud, and non-compliance.
- Work with our Controls team to propose effective policy controls to prevent and detect financial risks.
- Stay up-to-date with emerging trends and threats in financial fraud.
- Review and analyze P2P and TEC transactions to identify trends, anomalies, and potential risks.
- Develop and implement process improvements to increase efficiency and reduce risk.
- Present forensic audit findings and AI model results to management and stakeholders.
- Collaborate with business leaders to implement corrective actions and process improvements.
- Work closely with the AI modeling team to improve and implement machine learning model solutions to detect anomalies and predict financial risks.
- Provide subject matter expertise to ensure models are aligned with financial processes and regulations.
- Interpret model results and identify false positives to improve model accuracy.
- Input into data visualizations to communicate model insights to stakeholders.
- Bachelor's degree in Finance, Accounting, or related field.
- Professional certifications (e.g., CPA, CMA, CFE, CFA) required.
- At least +5 years of experience in forensic audit, financial analysis, or related field.
- Proven track record of identifying and preventing financial irregularities and fraud.
- Experience working with model based solution implementation.
- Understanding of financial regulations, laws, and industry standards.
- Advanced analytical and problem-solving skills.
- Communication and interpersonal skills.
- Independent and collaborative working skills.
- Proficient in financial systems, data analytics tools.
- Attention to detail and organizational skills.
- Experience with cloud-based financial systems and AI platforms.
- Experience in P2P analytics.
- Familiarity with data governance and data quality frameworks.
- Certified Forensic Accountant (CFA) or Certified Anti-Money Laundering Specialist (CAMS).
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