Junior Credit Risk Associate - Fraud Detection

Key Responsibilities:

• Analyze large datasets to identify patterns indicative of fraudulent activity. - Develop and maintain fraud detection models using statistical methods and machine learning techniques. - Prepare reports summarizing findings and recommendations for improving fraud prevention strategies. - Collaborate with other team members to share insights and best practices. - Stay updated on the latest fraud trends and techniques. - Assist in the investigation of suspected fraudulent activities. Qualification Required:

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. - 0-1 year of experience in fraud detection or a related field (Entry Level). - Strong analytical and problem-solving skills. - Proficiency in data analysis tools such as SQL, Python, R, or similar. - Knowledge of statistical modeling techniques. - Excellent communication and teamwork skills. Please note that the job description does not include any additional details about the company. Role Overview: You will support the fraud detection team in identifying and mitigating fraudulent activities within loan applications. Your responsibilities will include analyzing data to identify suspicious patterns, preparing reports on findings, and contributing to improving fraud prevention strategies. Key Responsibilities:

• Analyze large datasets to identify patterns indicative of fraudulent activity. - Develop and maintain fraud detection models using statistical methods and machine learning techniques. - Prepare reports summarizing findings and recommendations for improving fraud prevention strategies. - Collaborate with other team members to share insights and best practices. - Stay updated on the latest fraud trends and techniques. - Assist in the investigation of suspected fraudulent activities. Qualification Required: