Associate Product Manager - Fraud
Salary undisclosed
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It's fun to work in a company where people truly BELIEVE in what they're doing!
Job Description
Requirements
Education and Experience:
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Job Description
- 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.
Requirements
Education and Experience:
- 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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
It's fun to work in a company where people truly BELIEVE in what they're doing!
Job Description
Requirements
Education and Experience:
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Job Description
- 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.
Requirements
Education and Experience:
- 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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!