Credit Risk, Fraud Strategist

<h2><strong>Who we are</strong></h2> <h3><strong>About Stripe&nbsp;</strong></h3> <p>Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.</p> <h2><strong>What you’ll do</strong></h2> <h3><strong>Responsibilities</strong></h3> <ul> <li>Analyze accounts and transactions to identify and predict risky behavior that could result in losses for Stripe or pose challenges to the broader payments ecosystem.&nbsp;</li> <li>Scale risk processes to cover an increasingly large and complex landscape of payments risks and effectively design strategies and solutions that might range from ML model features to manual review workflows.&nbsp;</li> <li>Work with internal partners like Engineering, Product, Data Science and Operations to develop solutions that would mitigate fraud risk across different geographies, payment methods and products.&nbsp;</li> <li>Work with Stripe users to educate them about and help prevent potential risks to their business.&nbsp;</li> <li>Challenge the payments industry status quo to help enable innovative businesses to flourish online.</li> </ul> <h2><strong>Who you are</strong></h2> <h3><strong>Minimum requirements</strong></h3> <p>Must have a Bachelor's degree or foreign equivalent in Business Administration, Economics, Statistics, Finance, Engineering, or a related quantitative field plus 4 years of experience as a Risk or Fraud Strategist or a related occupation.</p> <p>Must also have 3 years of experience in each of the following:</p> <ul> <li>Payments-related domains, including regional payment methods, risk management, fraud prevention, or trust and safety operations;</li> <li>Working with quantitative tools including Python, R or Stata;</li> <li>Using SQL;</li> <li>Project Management analytical tools including Jira, Asana, and Gantt charts;</li> <li>Predictive Analytics;</li> <li>Machine Learning;</li> <li>A/B Testing; and</li> <li>Databricks and Airflow.</li> </ul> <p>Salary: $121,600.00 - $182,400.00 /yr.&nbsp;&nbsp;</p> <p>This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.</p> <p>40 hrs/week</p> <p>100 % Telecommuting permitted</p> <p>Multiple Positions Available.&nbsp;</p> <p>Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.<strong>CA62</strong></p> <h3><strong>#LI-DNI</strong></h3>