Senior Fraud Risk Analyst Jobs in California (NOW HIRING)

Intuit is looking for an innovative Manager experienced in Fraud Risk Policy & Strategy to lead a team of analysts within the Customer Trust and Safety organization. This individual will develop deep expertise across our consumer financial products and apply industry best practices in fraud prevention to address large-scale problems including suspicious account creation, account takeover, identity theft, and fraudulent applications for financial products such as loans and credit cards.

In this role, you'll own the strategy and execution of fraud risk policies that protect consumers at every step of the account lifecycle. You'll partner closely with product, engineering, data science, and legal teams to build scalable, data-driven solutions that balance security with a seamless customer experience.

As AI-assisted fraud continues to evolve, you'll play a critical role in developing and executing short and long-term plans to strengthen our defenses across the consumer finance space – anticipating emerging threats, closing policy gaps, and driving continuous improvement across detection, prevention, and response capabilities.

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

• Stays abreast of fraud trends, emerging fraud threats, and new system/tools to help bolster fraud prevention/detection capabilities

• 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

• Ability 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

• Proven ability to use productivity/collaboration tools such as MS Office, Google Suite, and Slack

Competencies:

• Demonstrates strong and effective leadership skills and ability to operate comfortably within a complex cultural and global environment

• Operate with strong integrity with the ability to handle projects of a sensitive and confidential nature

• Ability to maintain composure under pressure and make sound decisions

• Must display a high level of professional judgment, commitment, integrity, and teamwork

• Provide suggestions and demonstrate problem solving abilities

• Understanding of how businesses operate (both internal and external) and results oriented with the ability to identify the long-term effects of decisions /solutions on customers and the business; Establishes effective partnerships with key stakeholders and has established working relationships that enable self-direction in gathering requirements and scoping work; ability to balance adherence to Intuit Security Principles with Business growth

• Working with leadership, develops project scope and goals from high-level objectives; receives direction in terms of the desired outcome or strategic objectives

• 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

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.