Staff Fraud Risk Analyst - Fraud Analytics, Risk & Trust & Safety

Staff Fraud Risk Analyst - Fraud Analytics, Risk & Trust & Safety

Job Location: Mountain View, CA, USA

Work Model: Hybrid Work Model Details: 3 days onsite per week

Shift: Standard Business Hours

Employment Type: Temporary

Min Hourly Rate: $40.00

Max Hourly Rate: $47.00

Must Have Skills/Attributes: Data Analytics, Data Visualization, Fraud, Google Docs/Sheet/Slide, MS Excel, Python, SQL, Statistical Analysis System Experience Desired: Strong business acumen and exceptional analytical ability (4+ yrs); Advanced SQL and coding skills to perform data, profiling, segmentation and aggregation (4+ yrs); Experience with statistical analysis in support of justifying policy recommendations is preferred (3+ yrs); Significant experience with data analytics and visualization tools (Excel, GSheets, Python, Tableau, etc) (3+ yrs)

Required Minimum Education: Bachelor's Degree in Quantitative Field or commensurate experience

Preferred Education: Master's Degree

Job Summary: Client Trust and Safety team harnesses the power of data, technology, and people to protect our customers, partners, and business from fraud and abuse. The team is looking for a Staff Fraud Risk Analyst who is passionate about data and excited to partner with product managers, engineers, and data scientists to deliver fresh insights and intelligent solutions to fight fraud. This individual will cultivate a deep understanding of our Tax, Credit Karma, and consumer products and apply industry best practices and cutting-edge AI technology to solve large-scale fraud challenges like identity theft, account takeover, and product abuse, especially within the tax preparation industry.

Responsibilities:

• Lead initiatives to understand fraudulent behavior, identify trends in the data that indicate elevated risk, and create policy recommendations/solutions
• Drive change by proactively identifying ways to improve existing processes and suggest projects that address key issues while providing an awesome customer experience
• Proactively leverage AI tools to innovate and optimize fraud prevention processes and problem-solving in a dynamic environment
• Partner with fraud investigation teams, policy makers, product managers, and data scientists to deliver data insights and analysis that inform critical decisions and help us reach our goals
• Effectively design, document, and communicate complex analyses, data flows, and business processes
• Design metrics and dashboards to effectively measure the impact of fraudulent activity and the policies designed to mitigate them
• Advocate for the curation, standardization, and centralization of fraud-related datasets that form the foundation for all Client-wide fraud analysis
• Be the subject matter expert across the organization for your fraud and risk domain
• Use SQL, Python, Tableau, Databricks and spreadsheets to quickly analyze, manipulate and visualize datasets to guide fraud and risk policy discussions
• Teach best practices and mentor analysts within the organization

**Only those lawfully authorized to work in the designated country associated with the position will be considered.**

**Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**