Lead Fraud Data Scientist

The Lead Data Scientist position at Vanguard leads the development of divisional fraud 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. This position will serve as a subject matter expert in the recommendation, development, implementation and monitoring of risk prevention and data programs.

Core Responsibilities

Lead development of fraud strategies in fraud prevention systems. Independently perform sophisticated data analytics using structured and unstructured data.

Oversees and leads the divisional strategy for fraud strategy, including governance frameworks, data structures, and deliverables. Leverages deep analytics and statistics knowledge to determine risk, and develop plans for success.

Collects, analyzes, and communicates statistics related to daily fraud mitigation operations to stakeholders.

Leads and analyzes processes, products and reviews the validation of scalable analyses. Ensures products meet stakeholders' needs for information and insights. Develops a technology strategy and manages vendor relationships supporting the delivery of analytical capabilities.

Ensures alignment between department or team deliverables and enterprise goals and strategies.

Engages with strategic business and stakeholder relationships to understand and probe business processes in order to develop risk mitigation processes. Brings structure to requests and translates requirements into an analytic approach. Makes recommendations to key business partners or senior management as needed.

Continually develops understanding of industry trends and provides updates to the team to build business acumen. Champions change management efforts and advocates to ensure implementation of governance practices.

Participates in special projects and performs other duties as assigned.

Qualifications

Minimum of eight 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, AWS Sagemaker.

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

Special Factors

SponsorshipVanguard 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.

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