The Associate Product Manager will navigate complex data to enhance fraud prevention, translate product strategies into actionable plans, manage product roadmaps, and collaborate across teams to implement new features. This role also involves monitoring key performance metrics, collaborating with data teams for analysis, and identifying improvement opportunities.
It's fun to work in a company where people truly BELIEVE in what they're doing!
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.
Technical Skills:
- 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.
Soft Skills:
- 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.
Additional Requirements:
- 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!
Top Skills
Python
SQL
Traveloka Bengaluru, Karnataka, IND Office
Embassy Tech Village Road, Bengaluru, Karnataka, India, 560103
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