<p><strong>What role you will play in team:</strong> You will be a critical member of our team, responsible for identifying and mitigating financial crime risks within our platform.</p><p><strong>What you will do:</strong>  You will analyze transaction data to detect suspicious activity, develop and implement risk models, and collaborate with engineering to improve our security measures.</p><p><strong>Key responsibility:</strong><ul><li>Analyze large datasets to identify patterns indicative of financial crime.</li><li>Develop and maintain risk models to improve the accuracy of fraud detection.</li><li>Collaborate with engineering and product teams to implement risk mitigation strategies.</li><li>Monitor and report on key risk indicators.</li><li>Stay up-to-date on evolving financial crime trends and regulations.</li><li>Contribute to the development of training materials for employees.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>1-3 years of experience in financial crime risk or fraud detection.</li><li>Proficiency in SQL, Python, or other data analysis tools.</li><li>Experience with machine learning techniques (preferred).</li><li>Excellent analytical and problem-solving skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive compensation and benefits.</li><li>Opportunities for professional growth and development.</li><li>A dynamic and collaborative work environment.</li><li>Hybrid work model.</li></ul></p><p><strong>A Day in the Life:</strong>  A typical day involves data analysis, model development, collaboration with other teams, and reporting on key risk indicators, all contributing to maintaining the security of our platform.</p>