Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Come join Intuit as a Staff Fraud and Risk Analyst.
Qualifications
Qualifications required:

• Managing Fraud Policy / strategy
• Data driven, Great analytic skills.
• Team player: Effectively drive decisions and delivery across organizational boundaries through collaboration and effective relationships
• A keen eye for detail, accuracy and strong critical thinking skills with advanced judgment capability
• Innovative and proactive, tech savvy
• Business oriented

Experience Skills:

• 4 years experience in e-commerce, payments or financial services in Fraud Management
• SQL / analytical BI tools - Mandatory
• Managing Fraud Policy / strategy- Advantage
• Proven project management capabilities
• Python - Advantage
• Machine Learning technologies - advantage

Responsibilities
Primary Job Responsibilities:

• This role offers a unique opportunity to innovate, develop and manage strategies and policies that aim to mitigate fraud in leading applications with tens of millions of users.
• Manage high scale projects while using the most advanced analytical tools.These fraud prevention projects tend to improve the various Intuit's fraud detection capabilities.
• Taking ownership E2E on leading significant domains and projects that include a tight collaboration with Product management, Product Development, Data Science and senior leadership.

Responsibilities:

• Responsible for establishing fraud policies constant optimization while getting sound decisions that balance risk, cost of risk, user experience and financial performance.
• Responsible for determining impact on customers, operations, financial results and future business growth when setting or revising risk management policies.
• Taking part with high scale Risk projects that contain multiple and various teams (R&D, product and Data Science teams) across the organization and external vendors.
• Constant analysis and research with multiple tools in order to optimize the various risk mitigation methods and mechanisms.
• Innovate by creating hypothesis and running experiments to prove their value while introducing new capabilities (internal & external).
• Be the go-to person for anything and everything regarding understanding the Fraud domain, its use cases, and supporting data.