Senior Data Scientist - Compliance & Fraud Intelligence Unit📣 Job Ad

About the Role

MOZN, a rapidly growing technology firm headquartered in Riyadh, Saudi Arabia, is dedicated to advancing Artificial Intelligence and Data Science. The company is committed to supporting Vision 2030 and has a proven track record in developing the tech ecosystem across Saudi Arabia and the GCC region. Mozn serves as a trusted AI technology partner for major government organizations, large corporations, and startups. The company is currently scaling its operations to deliver AI-powered products and solutions globally. The Compliance & Fraud Intelligence Unit is seeking a Senior Data Scientist to 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. This role requires specialized expertise in areas such as Open Banking, Credit Scoring, Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and AML initiatives.

Key Responsibilities

• Lead the development and implementation of comprehensive strategies for fraud detection and AML.
• Engage with Subject Matter Experts (SMEs) and enterprise clients to understand challenges and identify gaps.
• Develop and execute project plans with clear deliverables to address client needs.
• Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraudulent activities.
• Plan, research, and experiment with customized, project-based solutions.
• Plan and execute the training and deployment of Machine Learning (ML) models.
• Contribute to shaping the strategic roadmap for the development of fraud and AML solutions.
• Stay informed about the latest industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.

Qualifications and Requirements

• Bachelor's or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
• A minimum of 5 years of experience in leading advanced data science projects.
• A minimum of 3 years of experience in client-facing engagements specifically within fraud prevention and AML.
• Strong communication skills for gathering insights from clients 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 and utilizing graph networks is considered advantageous.
• Skilled in utilizing databases, data warehousing, data modeling techniques, and feature generation/engineering.
• Ability to create and manage complex multi-stage data pipelines.
• Experience in building fraud detection models, or consulting on fraud detection/prevention systems or AML is highly advantageous.
• Excellent verbal and written communication skills in English and Arabic.
• Excellent problem-solving skills, attention to detail, and adaptability.

Technical Skills

• Open Banking
• Credit Scoring
• Financial Fraud Detection
• Sanction Screening
• Know Your Customer (KYC)
• Anti-Money Laundering (AML)
• SQL
• Python
• Data Visualization
• Data Analysis
• Data Transformation
• Machine Learning Models
• Statistical Models
• Graph Analytics
• Graph Networks
• Databases
• Data Warehousing
• Data Modelling
• Feature Engineering
• Data Pipelines
• Fraud Detection Models

Work Location and Type

This is a full-time position based in Riyadh, Saudi Arabia.