Technical Product Manager (Fraud)

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

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Job Description

• Assist in implementing the technical product vision and strategy ensuring robust risk management capabilities.
• Act as a mentor or coach to junior team members, providing guidance on tasks as needed.
• Focus on assigned parts of the product development lifecycle, such as user acceptance testing or documentation.
• Collaborate with engineering teams to refine and document technical requirements focusing on potential fraud scenarios. 
• Conducts market research to gather data on trends and competitor offerings, leveraging insights to inform product decisions.
• Stays updated on industry trends and emerging technologies, applying knowledge to enhance technical solutions.
• Contribute to maintaining product roadmaps by providing status updates and feedback.
• Works closely with UX/UI designers, data scientists, and business stakeholders to ensure cohesive product strategies.
• Assists in fostering collaboration within the team by facilitating knowledge sharing and continuous improvement initiatives.
• Support backlog management by helping prioritize tasks within a defined scope.
  Track and report KPIs with predefined methods and metrics focusing on early indicators of fraudulent activity.
• Learn about industry trends and emerging technologies through directed research; especially on fraud tactics and prevention technologies. 
   

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Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field from a reputable university
• 3~5 years of experience in product management, preferably in a technical role within fintech companies
• Has experience in fraud prevention, risk management, or a related field.
• Proven track record of developing and implementing effective anti-fraud strategies.
• 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.
• Proficiency in data analysis tools and programming languages such as SQL and Python.
• Strong understanding of software development methodologies (e.g., Agile, Scrum)
• Excellent problem-solving skills and ability to think strategically
• Proven track record of successful product launches and iterations
• Strong analytical skills with experience in data-driven decision-making
• Outstanding communication and interpersonal skills
   

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If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!