Fraud & Risk Analyst

]Main Job Purpose Monitoring and analyzing transactions and user behaviors to identify and prevent...

منذ 5 أشهر عمل كلي egypt 181
قدم الآن
المكان

egypt

نوع العمل

عمل كلي

الخبرة

0-1 سنوات

الراتب

not

الملخص الوظيفي

]Main Job Purpose

Monitoring and analyzing transactions and user behaviors to identify and prevent fraudulent activities, financial crimes, and other risks that could impact the company. Analyzing data, evaluating risk exposure, and providing actionable insights to mitigate potential threats. Supporting the development of robust risk management strategies, ensuring the company operates securely and efficiently in a dynamic and highly regulated fintech environment.

Responsibilities

  • Regularly monitor transactions and user activities for signs of fraud, including identity theft, account takeovers, payment fraud, and money laundering.
  • Monitor debit card fraud alerts daily and take necessary action to protect customers and the bank.
  • Use advanced analytical tools and techniques to detect and prevent fraudulent activities. Develop and fine-tune models that predict fraud risk.
  • Ensure all activities are in compliance with relevant regulations and standards.
  • Conduct detailed investigations into suspicious activities, collaborating with law enforcement and other external parties as necessary. Resolve issues efficiently and minimize financial losses.
  • Prepare detailed risk reports and dashboards for senior management, highlighting key findings, high-risk countries and merchants, trends, and recommendations, and Present insights to stakeholders to inform strategic decision-making.
  • Collaborate with cross-functional teams including customer experience, compliance, legal to ensure integration of risk management practices into business processes and suggest improvements to internal controls and procedures.
  • Assist the operational and business units of the organization in handling fraud-related inquiries and issues.
  • Stay up to date with the latest in fraud detection technologies and methodologies. Recommend new tools and technologies to enhance fraud detection capabilities.

Requirements

  • Bachelor’s degree is required.
  • Minimum of 2 years of experience in risk management and fraud prevention, within the financial services industry.
  • Proficiency in using data analysis tools such as Excel, SQL, or specialized analytics software to extract, clean, and analyze large datasets.
  • Ability to identify patterns, trends, and anomalies that may indicate potential risks or fraudulent activities.
  • Familiarity with fraud detection tools and technologies, such as machine learning models, artificial intelligence, and rule-based systems.
  • Experience in implementing and fine-tuning fraud detection algorithms to improve accuracy and reduce false positives.
  • Knowledge of various risk assessment techniques, including quantitative and qualitative methods.
  • Ability to evaluate risks associated with different financial products, services, and operational processes.
  • Strong understanding of relevant financial regulations, industry standards, and compliance requirements in the Egyptian market.
  • Ability to interpret complex regulations and ensure the company's operations align with legal and regulatory frameworks.
  • Familiarity with different payment systems, gateways, and technologies used in online and digital payments.
  • Understanding of transaction flows, payment APIs, and security protocols.
  • Awareness of cybersecurity best practices to safeguard sensitive financial data and prevent data breaches.
  • Knowledge of encryption methods, secure communication protocols, and data protection measures.
  • Understanding of financial statements, risk management principles, and key business metrics within the financial services sector.
  • Ability to assess the financial impact of various risk scenarios and fraudulent activities.
  • Ability to convey complex technical information to non-technical stakeholders through clear and concise reports and presentations.
  • Skill in translating technical findings into actionable insights for decision-making.
  • Proficiency in Microsoft Office Suite.
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