Lead Fraud Strategy Data Scientist

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.

• Develops strategic relationships to understand business processes to develop risk mitigation processes.

• Brings structure to requests and translates requirements into an analytic approach.

• Provides team's recommendations to key business partners as needed.

• Develops understanding of industry trends.

• Advocates to ensure implementation of governance practices.

• Participates in special projects and performs other duties as assigned.

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.

• Working knowledge of Python, Hive, Spark, Athena, Amazon Sagemaker.

• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.