As a Product Analytics Manager at Mozn, you will play a crucial role in developing and implementing advanced analytics models and techniques to detect and prevent fraudulent activities, as well as mitigate Anti-Money Laundering (AML) risks. The ideal candidate will specialize in Open Banking, Credit Scoring, Financial Fraud Detection, and related processes. Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science, headquartered in Riyadh, Saudi Arabia. The company is committed to realizing Vision 2030 and has a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn serves as the trusted AI technology partner for various government organizations, large corporations, and startups and is currently scaling to provide AI-powered products and solutions locally and globally.
Responsibilities:
- Evaluate new product features against key performance indicators (KPIs) such as usage, adoption rates, and customer satisfaction, utilizing A/B testing.
- Develop dashboards, reports, and visualizations to capture key product metrics and effectively communicate findings to stakeholders, including leadership.
- Collaborate with Data Engineering, Product Managers, and Designers to ensure data completeness and implement tracking tools for improved visibility.
- Analyze trends and patterns related to user behavior and support data-driven prioritization of product roadmap initiatives.
- Stay updated with industry trends and best practices related to fraud detection, AML, and financial crime prevention.
- Research, ideate, and scope AI features for AML and fraud prevention use cases.
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 or complex analytics projects.
- Minimum of 2 years in developing analytics for products, specifically in creating user behavior tracking dashboards.
- Proficiency in Product Analytics software (e.g. MixPanel, Amplitude) and BI software (e.g. Metabase, Tableau).
- Familiarity with statistical analysis and A/B testing techniques.
- Proficient in SQL and Python for handling and analyzing large datasets.
- Experience in data extraction, visualization, analysis, and transformation.
- Skilled in building and maintaining advanced ML and statistical models, with experience in graph analytics a plus.
- Experience in building fraud detection models or consulting on fraud detection systems is advantageous.
Language Requirements:
- Proficiency in English and Arabic.
Benefits:
- Competitive compensation and top-tier health insurance.
- A dynamic and fun workplace with opportunities to work alongside leading experts in AI.
- Freedom and responsibility to excel in your role with a supportive culture.
This position offers an exciting opportunity to contribute to the growth of AI technology and its impact on the digital landscape.
