Senior Fraud & Risk Analyst

Overview

Intuit QuickBooks is on a mission to transform financial services for small businesses through its money movement platform. To deliver on this initiative, we are expanding our Risk Analytics and Governance team that focuses on building AI driven fraud controls to detect and prevent fraud in the ecosystem as well as minimizing impact to good customers. We are part of the Small Business and Self-Employed Group (SBSEG), focused on preventing fraud across all fintech products. We are seeking a Risk Analytics lead that will work across multiple functions like Risk Operations, Risk Policy, Decision Science, Product, Engineering, Finance & Compliance to design and drive fraud mitigation risk strategies while creating operational efficiencies with manual risk case review processes. If you have passion for fraud mitigation and love solving real customer problems through analytics and data science, we welcome you to join our talented team.

• Strong business acumen with a 2+ years' work experience in related fields/positions
• Bachelor's degree in business, Math, Statistics, Finance, Economics, or a related field or equivalent work experience. An MBA or graduate degree in a related field is a plus or equivalent experience
• Worked in a diverse and challenging environment to drive growth, customer experience and profitability
• Ability to manage and lead across highly cross-functional teams
• Excellent communication skills with the ability to interact with and understand technical subjects and emerging technologies
• Experience in statistical analysis and adept in tools such as SQL, Python, R, SAS, Excel
• Domain expertise in payments, payroll and Capital loans risk management and exposure to agent-based risk operations processes senior for manual case reviews is ideal for this role
• Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity
• Strong organization and time management skills and the ability to manage multiple projects and priorities
• Understanding of Data Science modeling concepts and exposure data ETL is a plus

• Ability to analyze & research large data sets and translate insights into risk and business opportunities/requirements
• Design and scale risk processes to cover an increasingly large and complex landscape of small business risks given our rapidly expanding user base
• Design, implement, and monitor experiments to explore new methodologies and estimate key metrics for risk operational processes effectiveness and efficiency
• Ability to perform quantitative and business trade off decisions to improve risk operation processes to prevent fraud in payments, payroll and capital loan products
• Ability to work with product managers, data engineers and technology teams to enhance/ enrich our data ecosystem/ risk data marts to quickly scale our risk operational processes and risk mitigation strategies with an expanding user base and with new product rollouts
• Deliver ideas and insights as you collaborate with partner teams, such as engineering, data science and operations to build risk detection systems that drives overall efficiency, customer experience and agent investigation capabilities
• Effectively communicate fraud strategy and results to the leadership team
• Effectively able to work with product and technology teams to build risk solutions and collaborate with risk operations to operationalize solutions and get feedback
• In addition, the candidate should bring a high level of enthusiasm to the projects and the ability to organize and motivate large groups. This includes taking initiative, ownership and responsibility for a project
• Must have good judgment with the ability to think critically and strategically