Fraud Risk Manager, Unified Commerce Platform
US, CA, Santa Clara, United States
NVIDIA
NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.The Fraud Risk Manager is a critical role within our organization. It is responsible for leading the development and implementation of strategies to prevent, detect, and mitigate fraud risks associated with payment operations on NVIDIA’s Unified Commerce Platform (UCP). This position requires a deep understanding of fraud risk management and the ability to collaborate effectively with cross-functional teams to ensure the security and integrity of our payment transactions.
What you’ll be doing:
Strategy Development including developing and implement comprehensive fraud prevention strategies, including standard operating procedures (SOPs), policies, rules, and algorithms. Stay informed about industry trends and adapt strategies to address emerging fraud risks, incorporating advanced technologies such as AI, machine learning, and behavioral analytics.
Regularly assess risks for fraud vulnerabilities, implement controls to mitigate identified risks, use advanced fraud detection tools, ensure compliance with fraud prevention regulations.
Lead and manage a team of analysts and specialists responsible for monitoring, analyzing, and investigating suspicious activities.
Provide training and mentorship to team members to improve their skills in using sophisticated technologies for fraud detection.
Collaborate with internal teams like risk management, compliance, and customer support, and external partners such as acquirers and fraud tool providers. Align fraud prevention with business goals and report fraud trends and risks to senior leadership.
Monitor and analyze transaction data to identify fraud patterns and trends using advanced data analytics tools. Produce reports and insights to aid decision-making through visualization and predictive analytics. Implement and manage fraud detection tools and technologies, including machine learning and AI-based solutions. Respond to fraud alerts and blocking issues, coordinating actions such as account freezes or transaction blocks as necessary, and ensuring timely and effective resolution.
What we want to see:
Bachelor’s degree in business, finance, accounting, economics, or a related field (or equivalent experience).
5+ overall years of experience in payment gateway, financial, banking, or credit card processing industries including 3+ years in technical leadership/management roles. .
In-depth understanding of fraud risk, chargebacks, and relevant regulations (e.g., Card Schemes' Regulations).
Strong knowledge of fraud risk management practices, including prevention, detection, remediation, and reporting.
Experience with merchant payment processing, including risk and operational processes.
Excellent problem-solving and decision-making skills.
Proficiency in data analysis tools such as SQL, Python, or R.
Strong leadership and team management skills.
Excellent communication and collaboration abilities.
Ability to work additional hours and weekends as needed.
Ways to stand out from the crowd:
Master’s degree in a relevant field.
Experience with advanced data analytics, machine learning, or AI in fraud detection.
Experience with Stripe/PayPal/other industry-leading payment processing platforms
Certifications in fraud management or related areas.
Proficiency in programming languages for data manipulation and analysis as well as knowledge of emerging technologies such as blockchain and biometric authentication in fraud prevention.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Tags: Banking Blockchain Data analysis Data Analytics Economics Finance Fraud risk Machine Learning Python R Security SQL
Perks/benefits: Career development Equity / stock options
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