Vanguard is one of the world's largest and most respected investment management companies, known for its client-centric approach, low-cost investment products, and commitment to long-term, data-driven investment strategies. Our Center for Analytics and Insights (CAI) team is actively working on advancing AI innovation and building AI driven products for our business lines. The team aims to ultimately accelerate critical business solutions with AI capabilities. This role will directly support the Intelligent Outreach program to build AI capabilities that improve sales and distribution, client targeting, and opportunity assessments as part of touchpoint and distribution strategy. If you are a strategic problem solver with a passion for innovation and a proven track record in building analytics strategies and delivering complex initiatives in a cross-functional environment, we invite you to apply for this exciting opportunity. Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.

Responsibilities:

• Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
• Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.
• Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
• Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
• Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
• Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
• Participates in special projects and performs other duties as assigned.
• Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.
• Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.
• Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.

Qualifications:

• Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles
• Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI
• Bachelor’s degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master’s degree/Diploma in a related quantitative field

Special Factors

Sponsorship

Vanguard is not 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.