It's fun to work in a company where people truly BELIEVE in what they're doing!
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.
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
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!