The company is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science, headquartered in Riyadh, Saudi Arabia. The firm is working to realize Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. The company is the trusted AI technology partner for some of the largest government organizations, as well as many corporations and startups. They are scaling to provide AI-powered products and solutions locally and globally, ensuring the growth and prosperity of digital humanity.
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The Senior Data Scientist will be specialized in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and Anti-Money Laundering (AML) initiatives. This role is critical for 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 Subject Matter Experts (SMEs) and Enterprise clients.
- Understand pain points and gaps, build a project plan with clear deliverables, and execute it.
- Plan, research, and experiment with customized project-based solutions.
- Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraud.
- Plan and execute the training of machine learning models and their deployment.
- Help shape the roadmap for developing fraud and AML solutions.
- Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.
Qualifications
- 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 from clients and presenting findings.
- Proficient 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 machine learning and statistical models; experience in graph analytics is advantageous.
- Skilled in utilizing databases, data warehousing, data modeling techniques, 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 is required; proficiency in Arabic is preferred.
- Excellent verbal and written communication skills, problem-solving abilities, attention to detail, and adaptability.
Benefits
- Be at the forefront of an exciting time for the Middle East with a high-growth opportunity.
- Given a lot of responsibility and trust in your role.
- Competitive compensation and top-tier health insurance.
- A fun and dynamic workplace with opportunities to collaborate with some of the greatest minds in AI.
- An inclusive culture that values diversity and empowers individuals to be their best selves.
