Senior Fraud and Risk Analyst
Company Overview
Ó£»¨¶¯Âþ 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
Ó£»¨¶¯Âþ is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Ó£»¨¶¯Âþ serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Ó£»¨¶¯Âþ is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.
Our team is seeking a seasoned Fraud Analyst to join our Trust and Safety Analytics team.
In this role, you will play a crucial part in safeguarding our products from fraudulent activities. Your primary responsibility will be to analyze data to uncover patterns of fraud, providing insights into how bad actors operate. This requires a keen eye for detail, strong analytical skills, and data-based story telling. You will be responsible for creating dashboards that will allow your stakeholders to monitor and mitigate these activities efficiently.
Responsibilities
In this role you’ll be required to:
- Transform data into actionable insights for various stakeholders.
- Design, track, and evaluate KPIs across all operations.
- Maintain regular communication with leadership, peers, and stakeholders, emphasizing feasible goals and trackable business results.
- Collaborate extensively with data engineers to ensure consistent access to reliable data for stakeholders.
- Create your own ETLs when quick solutions are required.
- Visualize and effectively communicate findings through building dashboards.
- Deliver oral and written briefings to senior leaders and key stakeholders.
- Collaborate and influence cross-functional partners (policy teams, product management, data analytics, operations, engineering, and algorithms) to identify, assess, and resolve issues related to your products.
- Stay updated on trust and safety trends, emerging fraud threats, and new systems and tools to enhance risk prevention and detection capabilities for our platform and products.
Qualifications
- 4+ years of experience analyzing data in domains such as cybersecurity, digital products, service operations, e-commerce marketplace, customer care, finance, and marketing.
- 4+ years of experience building dashboards using Tableau/Looker or any other visualization tool.
- Extensive SQL experience, particularly in your current role.
- The ability to simplify complex concepts.
- Excellent problem-solving skills and end-to-end, systems-oriented quantitative thinking.
- Outstanding communication skills with both technical and non-technical colleagues.
- Proactive and inquisitive learner: seeks out and capitalizes on opportunities to enhance the business, rather than reacting to circumstances.
- Strong organization, time management, and task prioritization skills.
- The ability to work independently and make decisions with little direction.
- Familiar with using Github.
- Bachelor’s Degree in Computer Science, Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, a related field or equivalent work experience. Master’s Degree preferred.
Ó£»¨¶¯Âþ provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $140,500 - $190,000. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at . Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Ó£»¨¶¯Âþ conducts regular comparisons across categories of ethnicity and gender.