Manager 2, Fraud and Risk

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, including regular reporting to inform key leaders of progress and outcomes
• 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
• Deliver verbal and written briefings to senior/executive leaders and key stakeholders in a compelling and data-backed fashion
• Provide guidance and oversight in raising awareness of broader fraud and product issues, and driving toward automated solutions
• Own and assess your team’s progress toward established performance goals

Qualifications

• BS/MS in Computer Science or related field or equivalent relevant experience
• Experience in Cybersecurity and/or Identity and Access Management is strongly desired
• Bachelor’s degree in business analytics, information systems, security or related technical field
• 7+ years of professional experience on/leading policy or analytics teams in a compliance, security, risk, or financial fraud environment
• Knowledge of the US tax system and identity theft fraud schemes is desirable
• High level of proficiency manipulating and aggregating data in both standard and non-standard formats from a variety of sources
• Big data skills (ex., Databricks, Athena) and strong SQL skills are required
• Data analysis experience in Python or comparable language preferred
• Expert in producing user-friendly data visualizations and adept at communicating with data
• 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
• Able to understand and demonstrate empathy for opposing points of view on highly complex issues
• Excellent written and verbal communication skills; ability to succinctly communicate technical and business requirements, business cases and other findings across organizational levels
• Proficient at identifying hidden problems and shows ability to make connections among previously unrelated notions
• Uses knowledge, creativity and company practices and priorities to obtain solutions to complex problems
• Strong collaboration skills and ability to positively influence teams through a climate of change
• Results oriented with the ability to identify the long-term effects of decisions /solutions on customers and the business
• Proficient in the use of a personal computer and its applications, either Windows or Mac