Amine RIFFI

Introduction

I am an actuarial and data governance specialist with over a decade of experience in financial services, combining expertise in regulatory compliance, risk management, and advanced analytics. My career spans key roles in the banking and insurance sectors, where I have successfully led initiatives in technical provisions, Asset-Liability Management (ALM), and governance frameworks to ensure operational efficiency and compliance with industry standards. Additionally, I have developed internal models for long-term projections and annuity calculations, providing robust solutions for risk assessment and financial planning. Actuarial Science - Proficient in reserving, ALM modeling, technical provisions, and internal model development, with a strong focus on regulatory requirements (Solvency II, IFRS, and French GAAP). - Skilled in calculating annuities and implementing long-term projection models. Data Governance - Skilled in implementing governance frameworks based on DAMA principles, ensuring data quality, integrity, and compliance. Advanced Analytics - Expertise in machine learning and predictive modeling to support fraud detection and enhance operational performance. Fraud Detection - Specialized in identifying fraudulent activity across payment methods, including card transactions, wire transfers, and instant payments, by leveraging advanced analytics and detection tools. Trading and Algorithmic Analysis - Advanced trading skills with proficiency in fundamental, technical, and chart analysis across various indices. - Adept at programming in MQL4 to design and deploy automated trading algorithms tailored to market trends and opportunities. Stakeholder Management - Extensive experience collaborating with cross-functional teams, external auditors, and regulatory bodies. Technical Proficiencies: - Actuarial Tools: IBNRS, RESQ - Programming Languages: SQL, SAS, Python, MQL4 - Reporting and Analytics: Tableau, Power BI, SAP Business Objects

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