Remote Transaction Fraud Strategist
closedStripe
๐Remote - United States
Job highlights
Summary
Join Stripe's Fraud Risk Team as a Risk Strategist to prevent and mitigate Transaction Fraud, enabling safer payments for users and helping Stripe manage payments risks intelligently. As a key member of the team, you will monitor portfolio and transactions, collaborate with internal partners, scale risk processes, work with users, and challenge the payments industry status quo.
Requirements
- 3+ years of relevant professional experience
- Intermediate SQL skills and experience in applying these skills in business environments
- Strong analytical skills - you are passionate about data analysis and can frame business decisions and tradeoffs effectively through quantitative analysis and visualization
- Curiosity and passion for risk prevention: if something seems off, you want to investigate whatโs on and solve root problems
- Willingness to make these difficult decisions and quickly learn and iterate from these experiences - you are skilled at using data to drive decisions
- Excellent communication skills and knows how to be a team player - you are able to convey complex ideas succinctly and work effectively across teams
- Project management skills - you have demonstrated project-management skills and the ability to drive execution on projects that span multiple teams both within and outside of Risk
Responsibilities
- Monitor portfolio and transactions to identify and predict risky behavior that could result in losses for Stripe and our users
- Collaborating with internal partners like Product, Engineering, Data Science, and Operations, to tailor fraud risk management techniques to various products, payment methods across the globe
- Scale risk processes to cover an increasingly large and complex landscape of payments risks and effectively design and outsource manual/repetitive workflows
- Work with Stripe users to educate them about and help prevent potential risks to their business
- Challenge the payments industry status quo to help enable innovative businesses to flourish online
Preferred Qualifications
- Expertise with quantitative tools such as Python, R, etc
- Experience with payments (particularly working with regional payment methods), risk, or trust & safety
- Experience working with product teams
- Experience working with machine learning teams
- Experience working in fast-paced and rapidly changing start-up environments
This job is filled or no longer available
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