AI Robot Developer (Fintech)

TL;DR

AI Robot Developer (Fintech): Designing and developing a Robo Advisor platform for wealth management with an accent on AI/ML integration and financial UX/UI optimization. Focus on integrating advisory engines, optimizing API data exchange, and ensuring regulatory compliance.

Company

An independent technology consulting firm providing guidance and digital transformation solutions to over 1000 clients globally.

What you will do

• Support the design, development, and enhancement of the MPF Robo Advisor platform for mobile and web.
• Integrate AI/ML-driven advisory engines in collaboration with partners such as AutoML Capital and Syfe.
• Lead financial UX/UI optimization to ensure a user-centric and compliant digital experience.
• Manage API integration, data exchange, and security compliance between internal and partner systems.
• Develop user adoption strategies and onboarding journeys based on performance analytics.
• Ensure system architecture aligns with regulatory requirements and technology governance frameworks.

Requirements

• Experience in financial advisory systems, robo-advisor engines, or automated portfolio management.
• Proficiency with AI/ML model integration in finance, such as AutoML or recommendation engines.
• Experience with cloud-native architecture (AWS, Azure, or GCP).
• Proficiency in API and microservices frameworks.
• Frontend development experience in React, Angular, or Vue for financial portals.
• English: Fluent proficiency required.

Nice to have

• Proficiency in Cantonese or Mandarin.

Culture & Benefits

• International community with over 110 different nationalities.
• Strong internal growth potential, with 70% of leaders starting at entry-level roles.
• Access to a robust internal Academy with 250+ training modules.
• Vibrant workplace culture with frequent team buildings and social events.
• Opportunity to drive social and environmental impact via the WeCare Together program.

Hiring process

• Brief virtual or phone introductory call to discuss motivations and fit.
• Series of interviews (average of 3) with line managers and team members.
• Technical assessment or case study depending on the specific role requirements.