Staff Engineer - Payments Screening - Riyadh

About Mozn

Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s working to realise 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.

About The Role

Mozn is seeking a highly skilled Staff Engineer – Payment Screening to lead the designing and development of a new payment screening module. The ideal candidate will have extensive experience in building payment screening, fraud detection, and compliance solutions to ensure secure and seamless transactions. As a key technical leader, you will collaborate with cross-functional teams to architect, build, and enhance our screening capabilities.

What You'll Do

• Design and develop robust payment screening solutions to detect and mitigate fraud, sanctions violations, and regulatory risks.
• Lead architecture and implementation of real-time screening mechanisms for global payment transactions.
• Work close quarter with Product team to ensure absolute correct objectives are being implemented and delivered on time.
• Collaborate with our Data Science team to optimize screening algorithms and machine learning models to reduce false positives and enhance detection accuracy.
• Conduct performance tuning, scalability improvements, and ensure system reliability for high-volume transactions.
• Drive best practices in secure coding, automation, and continuous integration/deployment (CI/CD).
• Troubleshoot, debug, and optimize existing applications in production to improve performance and user experience.
• Stay updated on emerging threats, compliance regulations, and advancements in payment screening technology.
• Mentor junior engineers and contribute to a culture of technical excellence.
  
  

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 6+ years of experience in software engineering, with a focus on payment processing and fraud detection.
• Strong programming skills in either Java, Python, or similar languages but open to learn and code in any language.
• Expertise in real-time payment screening, transaction monitoring, and financial compliance.
• Hands-on experience with AML/KYC systems, sanctions screening, and risk analytics.
• Deep understanding of APIs, microservices architecture, and cloud technologies (OCI, AWS, GCP, or Azure).
• Experience with databases, data pipelines.
• Knowledge of machine learning techniques for fraud detection is a plus.
• Excellent problem-solving skills, with a proactive and analytical mindset.
• Strong communication and leadership abilities to influence technical direction.
  
  

Preferred Qualifications:

• Experience working with payment networks (SWIFT, SEPA, RTGS, etc.).
• Familiarity with regulatory frameworks such as PCI-DSS, GDPR, and PSD2.
• Background in financial services, fintech, or related industries.
  
  

Benefits

Why Mozn?

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
• The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves