
Data Protection Strategist
5 days ago
Job Overview:
As a seasoned senior engagement manager, you will play a key role in developing and implementing fraud prevention strategies to safeguard clients from seller risk and transaction fraud. With a strong foundation in machine learning and statistical analysis, you will design, develop, and maintain ML models and statistical algorithms to extract insights and drive actionable recommendations from complex datasets.
Key Responsibilities:
- Develop and lead comprehensive fraud prevention strategies for seller risk/transaction fraud from inception to deployment, ensuring alignment with business objectives and deadlines.
- Establish proactive monitoring frameworks to detect suspicious activity.
- Identify the modus operandi for the fraud attack, build mitigation solutions, and implement effective countermeasures.
- Design and deploy advanced ML techniques and statistical algorithms to extract valuable insights and drive actionable recommendations from complex datasets.
- Provide guidance and mentorship to junior data scientists on advanced analytics techniques, fraud prevention strategies, coding best practices, and model interpretation.
- Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability.
- Stay updated with the latest advancements in payment fraud detection and come up with innovative solutions to mitigate emerging threats.
- Ensure data integrity, security, and compliance with regulatory requirements.
Essential Skills and Qualifications:
- Hands-on experience building fraud prevention strategies for seller risk or transaction fraud.
- Develop comprehensive fraud prevention strategies from ideation to deployment, ensuring they deliver impactful insights.
- Own end-to-end design, development & deployment of fraud prevention strategies at scale to deliver high-quality outcomes.
- Partner with data analysts to produce dashboards and reports that translate data into actionable business decisions.
- Mentor and guide junior data scientists/analysts on the project to deliver desired outcomes.
- Strong proficiency in SQL (Google BigQuery experience preferred), Python, and ML.
- Excellent communication skills. Should be able to synthesize findings and communicate results to share actionable insights with senior leadership and other stakeholders.
- Experience of working in global delivery model setups is an advantage.
We are seeking a highly skilled and experienced individual who can contribute to our team's success. If you have a passion for machine learning, statistical analysis, and fraud detection, we encourage you to apply.
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