Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science, headquartered in Riyadh, Saudi Arabia. The company is dedicated 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 is the trusted AI technology partner for several large government organizations, corporations, and startups.
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We are 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.
Key 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.
- Work closely with the Product team to ensure objectives are implemented and delivered on time.
- Collaborate with the Data Science team to optimize screening algorithms and machine learning models.
- 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 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.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a 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 an openness to learn any language.
- Expertise in real-time payment screening, transaction monitoring, and financial compliance.
- Hands-on experience with AML/KYC systems and sanctions screening.
- Deep understanding of APIs, microservices architecture, and cloud technologies (OCI, AWS, GCP, Azure).
- Experience with databases and data pipelines.
- Knowledge of machine learning techniques for fraud detection is a plus.
- Excellent problem-solving skills and a proactive, 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.
Language Requirements:
- Proficiency in English; knowledge of additional languages is a plus.
Benefits:
- Competitive compensation and top-tier health insurance.
- A culture that empowers you to focus on what you do best.
- A dynamic workplace alongside some of the greatest minds in AI.
- An inclusive environment that promotes diversity and empowers individuals to be their best selves.
