Senior Fraud Strategy Data Scientist — Risk Analytics

Vanguard; Malvern (Chester County); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Vanguard in Malvern, PA is seeking a senior Fraud Strategy Data Scientist to develop fraud rules, perform advanced analytics, and guide risk mitigation initiatives.

The role leads governance, data structures, vendor relationships, and cross-functional collaboration to align fraud analytics with enterprise goals; sponsorship is available for qualifying candidates. The hybrid work model supports flexible, in-person collaboration and strategic partnerships.

Qualifications

• Minimum of five years related work experience in fraud strategy or fraud data science field.
• Understanding of statistical methods, including classical statistics, probability theory, econometrics, and time-series analysis.
• Strong familiarity with data extraction in environments like SQL.

Responsibilities

• Develop fraud rules and strategies in fraud prevention systems. Independently perform sophisticated data analytics using structured and unstructured data.
• Manages and supports projects and processes related to fraud strategies, including governance frameworks, data structures, and deliverables.
• Leverages analytics and statistics knowledge to determine risk and recommend plans.
• Collects, analyzes, and communicates statistics related to daily fraud mitigation operations to stakeholders.
• Analyzes and supports the delivery of products and reviews the validation of scalable analyses.
• Reviews products to ensure they meet stakeholders' needs. Builds and manages vendor relationships supporting the delivery of analytical capabilities.
• Ensures alignment between department or team deliverables and enterprise goals.

Skills

Fraud strategy experience

Education

Undergraduate degree

Graduate degree preferred

Tools

Python

SQL

Hive

Spark

Athena

Amazon Sagemaker

Job description

Vanguard in Malvern, PA is seeking a senior Fraud Strategy Data Scientist to develop fraud rules, perform advanced analytics, and guide risk mitigation initiatives.

The role leads governance, data structures, vendor relationships, and cross-functional collaboration to align fraud analytics with enterprise goals; sponsorship is available for qualifying candidates. The hybrid work model supports flexible, in-person collaboration and strategic partnerships.