Lead Fraud Strategy Data Scientist

Summary

hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. The Lead Fraud Strategy Data Scientist position at Vanguard focuses on developing sophisticated rules and strategies to enhance business outcomes and minimize risks related to fraud. The role involves utilizing statistical and predictive analytics, machine learning, and data visualization to design prevention strategies, provide actionable insights and consult with business leaders on leveraging these insights for strategic decision-making. 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. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Job Description

hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. The Lead Fraud Strategy Data Scientist position at Vanguard focuses on developing sophisticated rules and strategies to enhance business outcomes and minimize risks related to fraud. The role involves utilizing statistical and predictive analytics, machine learning, and data visualization to design prevention strategies, provide actionable insights and consult with business leaders on leveraging these insights for strategic decision-making. 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. About Vanguard At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. How We Work Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.