Product Analytics Manager

Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s 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. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups. 

We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.

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 specialised 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.

As a Product Analytics Manager, your daily workload might include:

• Evaluate new product features against key performance indicators (KPIs) such as: usage, adoption rates, and customer satisfaction, with heavy reliance on A/B testing
• Develop dashboards, reports, and visualizations, capturing key product metrics, to communicate findings effectively to stakeholders, including leadership.
• Collaborate with Data Engineering, Product Managers and Designers to ensure data completeness and efficiency then implement tracking tools for better visibility and data accessibility.
• Interpret trends and patterns related to user behaviour.
• Support data-driven prioritization of product roadmap initiatives.
• Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.
• Understanding of AI and machine learning concepts, with experience in applying these technologies to product analytics.
• Research, ideate then scope AI features for: AML and fraud prevention use cases, to be developed in the FOCAL platform.