Mozn is seeking a highly skilled Staff Engineer – Payment Screening to lead the design 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.
Responsibilities:
- 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.
- Collaborate closely with the Product team to ensure that objectives are implemented and delivered on time.
- Work with the 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.
About Mozn:
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, with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn serves as a trusted AI technology partner for numerous large government organizations, corporations, and startups. The company is currently scaling to provide AI-powered products and solutions both locally and globally.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 6+ years of experience in software engineering, focusing on payment processing and fraud detection.
- Strong programming skills in Java, Python, or similar languages, with a willingness to learn new languages.
- 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 and 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:
- Opportunity to be at the forefront of an exciting time for the Middle East.
- Responsibilities and trust in your role, allowing freedom to deliver the best results.
- Competitive compensation and top-tier health insurance.
- A fun and dynamic workplace with some of the brightest minds in AI.
- An inclusive culture that embraces diversity and empowers everyone to be their best selves.
