Mô tả công việc
Trusting Social is the leading Digital Identity/eKYC/Payment Authentication service provider for the Banking & Financial sector in Vietnam, Indonesia, Philippines, and India, boasting over 30 existing clients, including banks, financial companies, and e- wallets. Our TrustVision solutions empower clients to onboard customers digitally anytime and anywhere, detect fraud, and enable secure transactions using advanced facial recognition and AI models.
How you will make an impact in this role
If you&039;re genuinely passionate about building world- class Digital Identity/eKYC/Payment Authentication products and never settling for second place, join us on a journey of discovery to solve problems and deliver excellence.
As a Senior Product Analyst in Digital Identity/eKYC/Payment Authentication Product at Trusting Social, you will participate in decision- making and prioritization to drive product strategy, roadmap, and development, addressing identity trust in the financial sector in Vietnam and other Trusting Social markets. You will have the ultimate responsibility for implementing product features that deliver world- class Digital Identity/eKYC/Payment Authentication. Your role will involve delivering next- generation Digital Identity/eKYC/Payment Authentication product offerings to our clients and playing a key role in ideating and co- creating new features tailored to Trusting Social&039;s clients and market needs.
Responsibilities
Identify trends in fraud and attacks on the Digital Identity/eKYC/Payment Authentication system, and from there, establish directions for labeling samples, creating datasets for training and testing the model.
Analyze Digital Identity/eKYC/Payment Authentication product performance, customer behavior, and market trends to identify opportunities for improvement and growth.
Collaborate closely with Data Scientists, Engineers and QA to ensure the system operates according to the requirements of the Digital Identity/eKYC/Payment Authentication product.
Provide expert opinions for enhancements/improvements of the product suite provided to clients.
Engage with clients and users to gather constant feedback and incorporate it into the product features.
Support sales in pitching and deployment for customers.
Monitor the quality of the AI model and provide requirements for model deployment to make sure that the product quality is enhanced and operates properly.
Use data to understand product and feature performance, and suggest data- driven initiatives to improve the product and user experience.
Manage data collection for product performance tracking and improvement.
Proactively engage in the end- to- end product cycle of research, development, testing, deployment, and improvement.
Obsess over customers to deliver the products they need, constantly study the products to understand every aspect and fine- tune them to meet customer needs.
Use data and client feedback to identify new fraud schemes. Advise clients with tailored use cases based on data and testing outcomes.
Understand market needs and customers&039; pain points, stay updated on market trends, participate in creating a compelling product vision, and develop a product roadmap quarterly and annually.