Overview Opportunity to join Intuit's SMS Money Risk team and help power prosperity of small & medium businesses around the world. Innovate, develop and manage strategies and policies that aim to mitigate fraud in leading applications with millions of users. Manage high scale project dependencies while using the most advanced analytical tools and automated decisioning platform. Expand on risk and fraud policies on a global landscape to drive business growth What you'll bring + BA/BS in engineering/computer science/statistics/similar field or equivalent relevant experience + 4+ years of experience in a technical role implementing code for quantitative analysis + Rich experience in Java/SQL/Python specifically on your current role + Min 2 years of experience in financial services + Background in the fraud domain with emphasis on payments/e-commerce + Able to express your thoughts and ideas in fluent and clear manner + Able to lead a project, independently and with quick decision making + Problem solver, able to take a problem and get to its core and then propose relevant solutions + Proactive, having a can do approach + Team player with great interpersonal skills + Knowledge of Splunk for debugging applications + Experience with data viz tools like Tableau/Looker a plus + Experience with a rule engine like Drools an advantage How you will lead + Taking ownership on the implementation and execution of fraud strategies and leading high scale risk projects that include tight collaboration with global teams (Product, Engineering, Analytics) + Responsible for constant optimization while getting sound decisions that balance risk, speed, experimentation, and financial performance + Taking ownership of code pipelines E2E using multiple tools to mitigate risk in a timely matter in order to support business needs + Go-to person for anything and everything regarding understanding the fraud controls and how they impact our customers ability to run their business EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.