Senior Data Scientist - Compliance & Fraud Intelligence Unit

Job Description Roles & Responsibilities The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Senior Data Scientist position would be specialized in Open Banking, Credit Scoring, Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and Anti-Money Laundering (AML) initiatives. As a Senior Data Scientist, you will play a critical role in developing and implementing advanced analytics models and techniques to detect and prevent fraudulent activities and mitigate AML risks. What you'll do Lead initiatives to develop and implement strategies for fraud detection and AML. Interact heavily with SME as well as Enterprise clients. Understand pain points and gaps, build a project plan with clear deliverables and execute on it. Plan, research and experiment customized project-based solutions. Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraudulent activities. Plan and execute towards the training of ML models then deploying them. Help shape the roadmap for the development of our fraud and AML solutions. Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention. Desired Candidate Profile Bachelor s or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field. At least 5 years experience in leading advanced data science projects. A minimum of 3 years in client facing engagements in the field of fraud prevention and AML. Strong communication skills to collect insights from clients, share and present findings. Proficient in handling and analysing large datasets using SQL and Python. Hands-on experience in data extraction, visualisation, analysis, and transformation. Expert in building and maintaining advanced ML and statistical models, experience in graph analytics and using graph networks will be advantageous. Skilled in utilising databases, data warehousing, data modelling techniques and feature generation / feature engineering. Ability to create and manage complex multi-stage data pipelines. Experience in building fraud detection models, or consulting on fraud detection / fraud prevention systems or AML is highly advantageous. Proficiency in English language and Arabic languages is required. Excellent verbal and written communication skills. Excellent problem-solving skills, attention to detail, and adaptability Company Industry IT - Software Services Department / Functional Area IT Software Keywords Senior Data Scientist - Compliance & Fraud Intelligence Unit Get real-time job updates only on our App