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Job Summary


Job Type
Permanent

Seniority
Senior
Mid

Years of Experience
At least 3 years

Tech Stacks
Analytics

Job Description


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Combining the best domain knowledge in big data, artificial intelligence, and credit rating technology, ADVANCE.AI brings the next generation of data-centric platforms to transform the financial service industry in Asia. Our core product offerings include credit scoring, anti-fraud detection, facial recognition, and AI as a Service.

We’re looking for a highly experienced and insightful Technical Product Manager to join our high performing team in Singapore.
This role will define a holistic vision for our AI, data, automation, and analytics capabilities within the region, whilst partnering internally to design and deliver innovative end to end solutions for our end customers. This role will need to create the orchestration or SaaS platform to provide a one-stop on boarding, KYC and fraud prevention solution to the institutional customers.

Responsibilities
  • Lead the planning, technical development, testing and launch of end to end SaaS products for KYC, fraud prevention and data analytic with a team of engineers, data scientists and designer;
  • Identify key factors that have the greatest influence on business processes;
  • Define and analyze metrics that can facilitate success of products;
  • Integrate usability testing, research and market analysis into product requirement management to fulfil the requirement from customers and resolve their pain points.
 
Qualifications
  • Bachelor's degree or above;
  • 3-5+ years of experience in building SaaS or software products as product manager or product owner in KYC, fraud prevention and data analytics areas;
  • Experience in business process modelling and improvement, or delivering enterprise-level products is a plus;
  • Strong ability to analyze, design and build outstanding SaaS products for enterprises.
  • Experience in roadmap prioritization in an Agile environment (scrum, sprints);
  • Problem solving and analytical skills;

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