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Staff Fraud and Risk Analyst
- Intuit (Mountain View, CA)
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Overview
One out of every two small businesses fail within their first five years, most often due to running out of cash. Intuit QuickBooks is on a mission to provide small & medium-sized businesses access to all the tools they need to manage cashflow. We leverage the rich data inside QuickBooks to enable super-fast payments, payroll, bill pay, and access to capital. With Quickbooks, entrepreneurs never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity around the world.
We are seeking a Staff Fraud & Risk Analyst as part of our growing Risk Analytics Insights team within Intuit’s Global Solutions Business Group (GSBG). Be at the cutting edge of the Fintech industry - the GSBG division moves tens of billions of dollars in money for Intuit’s customers.The successful analyst will work across functions (Fraud & Risk Policy, Data Science, Compliance, Marketing, Product, Finance, etc.) and use data to drive insights which help achieve Intuit Global Solutions Business Group’s short and long-term business outcomes.
We’re looking for a candidate who will continue to build a strong analytics culture as part of our growing team. This role reports to the Senior Risk Analytics Manager of GBSG Policy Analytics as part of the broader GBSG Risk Organization.
What you'll bring
+ Strong business acumen and exceptional analytical ability with 6+ years of industry experience with data analysis/data science/operation research.
+ 5+ years of experience in modern advanced analytical tools and programming languages such as R or Python with pandas, matplotlib, and scikit-learn etc.
+ Efficient in SQL, Hive and analytical BI tools such as Tableau, Quicksight etc.
+ Hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression etc.
+ Proven track record of influencing cross-functional team decisions through data-driven recommendations.
+ Excellent written and verbal communication skills, with the ability to synthesize complex data into clear narratives.
+ Demonstrated ability to lead cross-functional initiatives and align stakeholders across many teams through analytics.
+ BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
+ Experience with AWS is plus
How you will lead
+ Apply advanced analytics techniques and predictive modeling to develop actionable business insights.
+ Build and enhance data, self-service, and analytics capabilities to streamline processes, drive decision-making, and empower stakeholders with meaningful insights.
+ Analyze the holistic customer experience throughout their lifecycle, identifying opportunities to improve customer outcomes and deliver business value.
+ Utilize operations research and statistical methodologies to optimize operational strategies, enhance customer experiences, and evaluate ROI.
+ Provide strategic recommendations based on multiple data sources, business knowledge, and assumptions, even in cases of incomplete information.
+ Identify business opportunities, influence key stakeholders, and drive action.
+ Optimize data collection and processing to deliver clear visibility into the impact and value of initiatives and product launches.
_Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is:_
Bay Area California $172,000 - $232,500
_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_ Intuit®: Careers | Benefits (https://www.intuit.com/careers/benefits/full-time-employees/) _).Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender._
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.
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