Fraud Strategy Lead & Analytics Scientist

Vanguard; Malvern (Chester County); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Vanguard seeks a Lead Fraud Strategy Data Scientist to design and implement sophisticated rules and strategies to reduce fraud while improving business outcomes. The role combines statistical modeling, machine learning, and data visualization to inform strategic decisions.

Collaboration with business leaders will translate insights into actionable risk mitigations. The candidate will apply econometrics and time-series analysis, work with large data sets using SQL, Python, Hive, Spark, Athena,

Qualifications

• Five+ years of fraud strategy or fraud data science experience.
• Strong knowledge of statistical methods, including statistics, probability, econometrics, and time-series analysis.
• Proficiency with data extraction in SQL environments.
• Working knowledge of Python, Hive, Spark, Athena, and Amazon SageMaker.
• Undergraduate degree or equivalent; graduate degree preferred.

Responsibilities

• Develop fraud rules and strategies in fraud prevention systems.
• Independently perform sophisticated data analytics using structured and unstructured data.
• Manage projects and governance frameworks for fraud strategies and data structures.
• Analyze risk and communicate statistics related to daily fraud mitigation operations to stakeholders.
• Review products for stakeholder needs and manage vendor relationships supporting analytics.
• Ensure alignment between team deliverables and enterprise goals.
• Develop relationships to understand business processes for risk mitigation.

Skills

Fraud strategy

Statistical methods

Time-series analysis

SQL data extraction

Python

Big data analytics

Education

Undergraduate degree or equivalent

Graduate degree preferred

Tools

SQL

Hive

Spark

Athena

Amazon SageMaker

Job description

Vanguard seeks a Lead Fraud Strategy Data Scientist to design and implement sophisticated rules and strategies to reduce fraud while improving business outcomes. The role combines statistical modeling, machine learning, and data visualization to inform strategic decisions.

Collaboration with business leaders will translate insights into actionable risk mitigations. The candidate will apply econometrics and time-series analysis, work with large data sets using SQL, Python, Hive, Spark, Athena,