Intuit is looking for an innovative Manager experienced in Fraud Risk Policy & Strategy to lead a team of policy analysts within the Trust & Safety organization. This individual will cultivate a deep understanding of our Quickbooks and Mailchimp products and bring industry best practices around fraud prevention and generative AI to address large scale problems related to product abuse. As we continue to grow our capabilities with the advancements in AI-assisted solutions, this individual will also play a critical role in developing and executing short and long-term strategic and tactical plans across all products to improve our security posture against fraud and abuse in the evolving online threat landscape.
Responsibilities
Lead a high-performing team of fraud and risk data analysts by providing real-time coaching and best practice guidance to team members relating to their daily work as well as growing their careers
Lead strategic initiatives with measurable milestones and impact to KPIs
Act as a strategic partner across Intuit product development, product management, legal, investigations, data science, and other teams for fraud/abuse prevention solutions throughout the fraud lifecycle of detection, investigation, remediation, and prevention
Combine historical data with strong subject matter expertise and intuition to create and execute strategies to achieve short and long-term objectives at scale
Provide guidance and oversight in raising awareness of broader fraud and product issues, generative AI ongoing trends and driving toward automated solutions.
Stays abreast of fraud trends, emerging fraud and generative AI threats, and new system/tools to help bolster fraud prevention/detection capabilities
Own and assess your teams progress toward established performance goals.
Requirements: BA/BS in Industrial engineering/Economics/Accounting/Similar field; equivalent work experience will be considered
4+ years of professional experience in leading policy or analytics teams in a compliance, security, risk, or financial environment
High level of proficiency in data analysis, manipulating and aggregating data. Big data skills (ex., Databricks, Athena) and strong SQL skills are required
Skilled in collaborating with Data Scientists to develop real-time predictive models and complex AI-based solutions
Demonstrated project management skills for planning/driving tasks across organizations while keeping initiatives on track to achieve desired outcomes
Ability to drive and push projects forward, own a can-do approach
Ability to multitask, prioritize and focus on needle movers
Excellent written and verbal communication skills; ability to succinctly communicate technical and business requirements, business cases and other findings across organizational levels
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