Associate Product Manager - Fraud

Traveloka (Jakarta Metropolitan Area)

DKI Jakarta, อินโดนีเซีย

e don’t innovate for the sake of innovation, we utilize technology to simplify people’s lives so they can enjoy their lives better. That belief is what brought Traveloka to be the leading travel platform in Southeast Asia. Traveloka serves 20+ products that include comprehensive travel services. From transportations to accommodations, discovering nearby attractions, and insurance products to financial services, including the groundbreaking ‘Buy Now Pay Later’. With 100+ millions downloads in six countries across the SEA region, we aim to keep exploring for better innovations — all to fulfill our users’ travel aspirations so they can enjoy their lives, their way.

เกี่ยวกับตำแหน่งนี้

It's fun to work in a company where people truly BELIEVE in what they're doing!

หน้าที่รับผิดชอบ

• Navigate data and system maps to simplify complex processes, ensuring robust risk management capabilities.
• Translate product strategy into actionable plans, detailed requirements to incorporate key safeguards against fraud.
• Prioritize and define product roadmaps, manage a product backlog, make swift decisions, and coordinate teams to release high-quality products within planned timelines based on business and customer impact.
• Work closely with engineering, business product, growth, operations, and external parties to implement new features and enhancements, while keeping potential fraud scenarios in mind.
• Act as a product evangelist to build awareness and understanding of the overall product vision, including trust and safety aspects.
• Monitor key performance metrics for owned products/features, paying attention to early indicators of fraudulent activity.
• Collaborate with data teams to conduct regular analysis and deep dives into performance, ensuring early detection of fraud patterns.
• Identify issues and improvement opportunities that can drive product performance forward and bolster confidence in our services.

คุณสมบัติ

• At least Bachelor's degree in Computer Science, Engineering, or other technical fields from top local or overseas universities with strong academic results, MBA is a plus.
• Experience in the fintech or e-commerce industry.
• Minimum of 3-5 years of experience in fraud prevention, risk management, or a related field.
• Proven track record of developing and implementing effective anti-fraud strategies.
• Proficiency in data analysis tools and programming languages such as SQL and Python.
• Experience with fraud detection technologies and methodologies.
• Familiarity with machine learning models and their application in fraud detection. Knowledge of anti-fraud technologies such as device fingerprinting, liveness detection, and ID verification systems.
• Excellent communication and interpersonal skills.
• Strong stakeholder management and cross-functional collaboration abilities.
• Analytical mindset with strong problem-solving skills.
• Ability to manage multiple projects simultaneously and meet tight deadlines.
• Proactive and able to work independently as well as part of a team.
• Ability to collaborate effectively with cross-functional teams and manage external vendor relationships.
• Stay updated on the latest trends in fraud tactics and prevention technologies.
• Demonstrated ability to translate complex data into actionable strategies.