NEW JOB OPENING
STAFF FRAUD RISK ANALYST - FRAUD ANALYTICS, RISK & TRUST & SAFETY
IN Mountain View, CA, USA!

Education:

• Bachelor’s Degree in Quantitative Field or commensurate experience

• Master’s degree preferred



Required Skills:

• Strong business acumen and exceptional analytical ability with 4+ years of relevant experience

• Advanced SQL and coding skills to perform data, profiling, segmentation and aggregation

• Significant experience with data analytics and visualization tools (Excel, GSheets, Python, Tableau, etc)

• Outstanding communication skills with the ability to deftly negotiate, prioritize across technical and non-technical teams, influence decision makers and build consensus with teams

• Detail-oriented with a high degree of accountability, organization and empathy

• Team player: Effectively drive decisions and delivery across organizational boundaries through collaboration and effective relationship



Preferred Skills:

• Experience in Fraud Prevention or Risk preferred

• Experience with statistical analysis in support of justifying policy recommendations is preferred

• Significant experience with relational databases (Hive) preferred

• Experience working with Key Performance Indicator metrics such as fraud prevention, chargeback, precision, recall, and customer insult rates (preferred)



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 ata 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.**