Product Manager

Ryt Bank; Kuala Lumpur; On-site; MYR 60,000 - 100,000; Full time

Job summary

An innovative banking institution is seeking a Fraud-Focused AI Product Manager to lead the charge in developing cutting-edge AI solutions aimed at preemptively detecting and mitigating fraud. This role is pivotal in harmonizing fraud prevention strategies with customer experience, ensuring that security measures enhance user satisfaction. You will collaborate with cross-functional teams, utilizing data-driven insights to guide product enhancements and foster a secure banking environment. If you're passionate about leveraging AI to create a seamless and secure banking experience, this opportunity is tailored for you.

Qualifications

• Strong background in AI for fraud detection and prevention.
• Experience with data analytics tools and deriving actionable insights.

Responsibilities

• Develop AI strategies to identify fraud indicators proactively.
• Design workflows for rapid response to detected fraud.

Skills

AI Tools for Fraud Detection

Data Analytics

Simulation Modeling

Risk Management

User-Centric Design

Excellent Communication

Education

Bachelor's in Computer Science

Master's in Data Science

Tools

Data Analytics Tools

Job description

About the Role:

At Ryt Bank, we’re not just dreaming of the future of banking—we’re building it with intelligent solutions that secure and enhance our customers’ experience. In this role, you will serve as a Fraud-Focused AI Product Manager with a unique mandate: leverage advanced AI tools and techniques to preemptively detect and mitigate fraudulent activities before they impact our customers. You will partner with our product, engineering and analytics teams, using data-driven insights and simulations to balance fraud risk management with seamless, positive customer experiences.

Your Mission:

• Proactive Fraud Prevention:
• Develop and implement AI-powered strategies that identify potential fraud indicators before they can impact customers. Establish dynamic prevention techniques—including real-time risk scoring, rule-based engines, and behavioral analytics—to preempt fraudulent activity.
• Intervention & Response Strategies:
• Design robust intervention workflows that enable rapid, multi-layered responses when potential fraud is detected. This includes triggering automated alerts, defining escalation protocols, and collaborating with cross-functional teams for timely human intervention when necessary.
• Data-Driven Simulation & Impact Analysis:
• Employ sophisticated data analytics and simulation models to evaluate how changes in product features and security policies may affect both the rate of fraud and overall customer experience. Use these insights to guide strategic decision-making and product enhancements.
• Cross-Functional Collaboration:
• Collaborate not only with our engineering, analytics, and risk management teams, but also with other product teams across Ryt Bank to harmonize fraud rules and ensure a consistent customer experience. Serve as the bridge that aligns technology, product strategy, and trust & safety measures across all touchpoints of our platform.
• Innovative Product Roadmapping:
• Define and execute a product roadmap that seamlessly integrates fraud prevention into the core banking experience. This includes staying current on AI fraud detection trends and incorporating real-time feedback from both internal stakeholders and end-users.
• Customer-Centric Security Enhancements:
• Balance the need for robust fraud prevention with the imperative of providing a smooth experience for genuine users. Continuously assess and iterate on intervention mechanisms to minimize unnecessary friction, ensuring that security measures enhance rather than hinder customer satisfaction.

What You'll Bring:

• Proven Expertise in AI and Fraud Detection:
• A strong background in applying AI tools and techniques specifically for fraud detection and prevention. Your experience should include designing systems that predict and counteract fraudulent behavior in a preemptive rather than reactive manner.
• Data-Driven Mindset:
• Demonstrated ability to work with data analytics tools, perform simulations, and derive actionable insights. You should be adept at quantifying fraud risk impacts and balancing these against customer experience metrics.
• Strategic & Collaborative Thinking:
• Exceptional ability to bridge technical, product, risk management and operations teams. You thrive in collaborative environments, driving discussions that integrate security measures with innovation.
• User-Centric Focus:
• Deep understanding of customer needs, ensuring that any fraud prevention measures are implemented without compromising the experience for genuine users.
• Excellent Communication:
• Ability to clearly articulate complex technical concepts to non-technical stakeholders while inspiring and guiding cross-functional teams.
• Relevant Academic Background:
• A Bachelor’s degree (or higher) in Computer Science, Data Science, Information Security, or a related field. Additional certifications or coursework in fraud risk management is a plus.