Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science, headquartered in Riyadh, Saudi Arabia. The company aims to support and grow the tech ecosystem in Saudi Arabia and the GCC region, contributing to Vision 2030. Mozn is a trusted AI technology partner for several large government organizations and corporations, as well as startups.
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The Senior Data Scientist will play a critical role in developing and implementing advanced analytics models and techniques to detect and prevent fraudulent activities and mitigate Anti-Money Laundering (AML) risks. The ideal candidate will have specialization in areas like Open Banking, Credit Scoring, Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and AML initiatives.
Key Responsibilities:
- Lead initiatives for fraud detection and AML strategy development and implementation.
- Interact heavily with Subject Matter Experts (SMEs) and enterprise clients.
- Understand clients' pain points, build project plans with clear deliverables, and execute them.
- Plan, research, and experiment with customized project-based solutions.
- Conduct research and optimization to enhance technical solutions for fraud detection.
- Plan and execute training for Machine Learning models and deploy them.
- Help shape the roadmap for development of fraud and AML solutions.
- Stay updated with industry trends, best practices, and regulatory requirements.
Requirements:
- Bachelor's or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
- At least 5 years of experience in leading advanced data science projects.
- A minimum of 3 years in client-facing engagements in fraud prevention and AML.
- Strong communication skills for collecting insights and presenting findings.
- Proficiency in handling and analyzing large datasets using SQL and Python.
- Hands-on experience in data extraction, visualization, analysis, and transformation.
- Expertise in building and maintaining advanced ML and statistical models; experience in graph analytics is advantageous.
- Skilled in utilizing databases, data warehousing, and feature engineering.
- Ability to create and manage complex multi-stage data pipelines.
- Experience in building fraud detection models or consulting on fraud detection/AML systems is highly advantageous.
- Proficiency in English and Arabic is required.
- Excellent verbal and written communication skills, problem-solving skills, attention to detail, and adaptability.
Benefits:
- Competitive compensation and top-tier health insurance.
- A responsibility-driven culture that encourages freedom in decision-making.
- A fun and dynamic workplace with talented colleagues in AI.
- Emphasis on diversity and empowerment to help everyone be their best selves.
