Technical Project manager (with exp.

Qualification:

• 35 years of professional experience in project or delivery management, preferably within financial services or technology sectors, with exposure to anti-fraud or AML initiatives.
• Strong understanding of functional design principles and experience in developing core business solutions.
• In-depth knowledge of anti-fraud and AML business principles and operational processes.
• Proficiency in system integration concepts and familiarity with low-code/no-code platforms for business solution development.
• Hands-on experience with behavioral device intelligence for fraud detection (highly desirable).
• Exposure to Artificial Intelligence (AI) applications for solving business challenges.
• Professional certifications such as PMP or CAPM are highly valued.

Key and Qualification:

• Project and Delivery Leadership: Drive project initiatives by managing schedules, allocating resources, and defining key milestones to ensure successful and timely delivery.
• Technical & Business Process Analysis: Actively participate in the functional and technical design of systems, processes, and applications. This includes hands-on analysis to capture requirements, define new modules, and improve system capabilities.
• Workflow Mapping: Document and analyze current-state workflows and architect future-state process flows to enhance operational efficiency and system performance.
• Risk Mitigation: Proactively identify and manage potential project risks, developing strategies to ensure a smooth and uninterrupted delivery process.
• Team Collaboration: Foster strong communication and collaboration across diverse project teams, guiding them toward common objectives.
• AML & Anti-Fraud Expertise: Leverage a deep understanding of anti-fraud and AML principles to inform project decisions and ensure all designs meet business and regulatory standards.
• Product Component Design: Contribute directly to the development of application components, including the creation of rules, scorecards, decision trees/tables, and system variables.