We are seeking a skilled Data Analyst to join our team in developing and implementing data-driven solutions for financial fraud prevention. Job Description: The ideal candidate will have a strong background in statistics, machine learning, and programming languages such as Python or R. Experience with cloud platforms like AWS, Azure, or Google Cloud is also highly desirable. Key Responsibilities: - Develop and optimize advanced machine learning models and algorithms for fraud detection. - Mentor junior data scientists and analysts, fostering a collaborative and high-performance team environment. - Leverage cloud platforms to implement scalable AI/ML solutions. - Contribute to the design and implementation of core algorithms, mathematical models, and data-driven solutions. Required Skills and Qualifications: - Master's or Ph.D. in Statistics, Applied Mathematics, Data Science, Computer Science, Electrical Engineering, or a related quantitative field. - 2-4 years of experience in algorithm development, statistical analysis, and machine learning. - Hands-on experience in applying advanced machine learning techniques to real-world datasets in financial fraud prevention. - Proficiency in Python or R for statistical analysis, data modeling, and visualization. - Experience with cloud technologies and platforms (AWS, Azure, or Google Cloud). Benefits: - Opportunity to work on innovative technologies and contribute to industry-leading solutions. - Collaborative and dynamic work environment. - Professional growth and development opportunities. Become a leader in the field of data science and drive innovation in financial crime prevention. This role offers the opportunity to make a tangible impact in the fight against financial crime and be part of a forward-thinking organization.