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Transaction Fraud Strategy Analyst

AnalystAnalystFull TimeRemoteTeam 1,001-5,000Since 2010H1B SponsorCompany Site LinkedIn

Location

Illinois

Posted

53 days ago

Salary

Not specified

5 yrs expEnglishSQL

Job Description

• Monitor portfolio and transactions to identify, mitigate and predict risky behavior that could result in losses for Stripe, our users, and the payment ecosystem • Collaborating with internal partners like Product, Engineering, Data Science, Risk Partnerships, and Operations, to tailor fraud risk management techniques to various products, payment methods across the globe • Continually evaluate product for gaps and propose risk controls to enhance the product while enabling growth • 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

Job Requirements

5+ years of relevant professional experience
Curiosity and passion for risk management: if something seems off, you want to investigate what’s going on and solve root problems
Decisiveness, yet open to learning: you will make many critical decisions every day impacting large numbers of merchants
Willingness to make these difficult decisions and quickly learn and iterate from these experiences - you are skilled at using data to drive decisions
Understanding and empathy for the challenges of setting up a new business - you will thoughtfully balance scaled enforcement decisions with user experience
Strong analytical skills - you are passionate about data analysis and can frame business decisions and tradeoffs effectively through quantitative analysis and visualization
Advanced SQL skills and experience in applying these skills in business environments
Demonstrated experience working in a cross-collaborative environment, mainly with Engineering, Product, and Data Science partners
Excellent communication skills and knows how to be a team player - you are able to convey complex ideas succinctly and work effectively across teams
Ability to think holistically and build out processes to bridge gaps in the system