Mozn is a rapidly growing technology firm based in Riyadh, Saudi Arabia, revolutionizing the field of Artificial Intelligence and Data Science. The company is committed to supporting the growth of the tech ecosystem in Saudi Arabia and the GCC region, acting as a trusted AI technology partner for various government organizations and corporations. Mozn is focused on scaling its services to provide AI-powered products and solutions that make a significant impact in the digital realm.
Mozn is seeking a highly skilled Senior 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, the successful applicant will collaborate with cross-functional teams to architect, build, and enhance screening capabilities.
Responsibilities:
- Design and develop robust payment screening solutions to detect and mitigate fraud, sanctions violations, and regulatory risks.
- Implement real-time screening mechanisms for global payment transactions.
- Collaborate closely with the Product team and staff engineers to ensure that objectives are correctly implemented and delivered on time.
- Work with the Data Science team to optimize screening algorithms and machine learning models, reducing false positives and enhancing detection accuracy.
- Conduct performance tuning, scalability improvements, and ensure system reliability for high-volume transactions.
- Troubleshoot, debug, and optimize existing applications to improve performance and user experience.
- Promote best practices in secure coding, automation, and continuous integration/deployment (CI/CD).
- Stay updated on emerging threats, compliance regulations, and advancements in payment screening technology.
- Mentor junior engineers and foster a culture of technical excellence.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in software engineering, focusing on payment processing and fraud detection.
- Strong programming skills in Java, Python, or similar languages; openness to learning new languages is expected.
- 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:
- Competitive compensation and top-tier health insurance.
- Freedom and responsibility to make impactful decisions.
- A fun and dynamic workplace collaborating with some of the brightest minds in AI.
- An inclusive culture that embraces diversity and empowers individuals to be their best selves.
