About the role

Technical Project Manager leading client communications and project delivery for AI-driven Fraud and Risk solutions. Collaborating with engineering teams to ensure seamless integration of client systems.

Responsibilities

Manage and drive client communications throughout the entire project delivery, align different client stakeholders, ensure project is delivered successfully without delay.
Work closely with clients, sales teams, and other stakeholders to ensure successful project outcomes.
Understand the client's product and business logic to recommend the best solution that addresses specific client needs. Provide strong solution and consulting services.
Take the project management role to ensure the client onboarding project runs as expected and under control.
Provide technical expertise and guidance throughout the implementation and deployment phases, to integrate with the client systems.
Work closely with product and engineering teams to ensure seamless integration of new features and technologies into existing systems.
Stay updated on financial services industry trends and emerging technologies to continuously improve our solutions and offerings.
Conduct presentations and demonstrations of proposed solutions to clients and stakeholders.

Bachelor’s degree in Computer Science, Engineering or a related field is required; a Master’s degree in a business-related discipline (e.g., MBA, MIS, Information Systems, Management, or Analytics) is preferred.
Basic understanding of software development, system architecture, and system integration concepts; exposure to SaaS platform data integration is a plus.
Strong verbal and written communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences.
Enjoys working with clients and stakeholders, with a service-oriented mindset and interest in client-facing responsibilities.
Ability to work collaboratively in a team environment and support multiple projects under guidance and supervision.
Demonstrates strong problem-solving skills, attention to detail, and a willingness to learn in a fast-paced environment.
Familiarity with anti-fraud concepts in the financial services or internet industry is a plus.
Exposure to real-time computing, big data technologies, or machine learning through coursework, internships, or project experience is a plus.