Sr. Fraud Strategy Analyst

The Vanguard Group•Scottsdale, PA

2d•Hybrid

About The Position

Global Risk and Security (GR&S) at Vanguard enables business strategy, protects client and Vanguard interests, including assets and data, and stewards a strong risk culture. Within GR&S, the Enterprise Security and Fraud (ES&F) sub-division is responsible for the global protection of Vanguard crew, property, data, and client assets. The team provides security and fraud capabilities and emphasizes continuous learning and development in an evolving security landscape. The Sr. Fraud Strategy Analyst defines and manages fraud prevention strategy across real-time payment channels. The role owns real-time fraud decisioning, including rules, decision logic, and detection strategies, and drives platform enhancements in partnership with engineering. It monitors and optimizes fraud detection, false positives, and client friction; uses analytics and model insights to refine strategies; collaborates across Product, Engineering, Risk, and Operations; and maintains control testing and compliance with risk and regulatory standards. Vanguard offers visa sponsorship for this position. Vanguard describes a hybrid working model for the majority of its crew members, intended to support flexibility as well as in-person learning, collaboration, and connection.

Requirements

Minimum of five years of related work experience.
Undergraduate degree or equivalent combination of training and experience.
Expertise in account takeover, social engineering, and transaction fraud risks within retirement and workplace channels.
Proven experience managing real-time fraud decisioning environments and rules strategies.
Strong experience partnering across Product, Engineering, Risk, and Operations.
Expertise in fraud rules engines or decisioning platforms.
Strong analytical capabilities, including data analysis, segmentation, and performance optimization.
Working knowledge of fraud models, machine learning concepts, and model governance.
Ability to translate data into actionable fraud strategies and business decisions.
Strong experience with analytical tools such as Python, R, SAS, and SQL, and platforms such as Tableau or Power BI.
Excellent communication and executive storytelling skills.
Highly collaborative, with a track record of driving alignment across teams.

Nice To Haves

Graduate degree preferred.

Responsibilities

Define fraud prevention strategy across real-time payment channels, including risk appetite and control coverage.
Design and manage fraud rules, decision logic, and detection strategies within real-time decisioning platforms.
Drive enhancements and implementation of fraud rules engines and decisioning platforms in partnership with engineering.
Monitor and improve fraud detection, false positives, and client friction through ongoing control tuning and performance management.
Use analytics and model insights to identify trends, refine strategies, and improve detection effectiveness.
Collaborate with Product, Engineering, Risk, and Operations to embed fraud controls into customer journeys and new product launches.
Maintain disciplined control testing, monitoring, and adherence to risk and regulatory standards.