<p>The HyperPersonalization CDAO team is at the center of the AI Ambition and distribution strategy efforts, with an offer set that spans across experimentation, measurement, advanced analytics, and data storytelling to deliver on client-alpha focused outcomes. Our mission is to deliver insights, AI/ML solutions, and data-driven strategies in order to attract, retain and position high-value investment products and services to existing and future clients. This role will be responsible for the expansion of our experimentation and forecasting capabilities, thought leadership and producing analyses to supporting the migration of our engagement to our program. Minimum Requirements: • ability to build strong relationships with senior business partners • exceptional data storytelling through visualization • problem solving and conceptual thinking skills through for analytically driven solutions • modeling experience with coding knowledge in SQL and Python • strong data, technical and financial acumen • 12 years of corporate experience and 10 years of advanced analytics experience</p> <p>Core Responsibilities</p> <ul> <li> <p>Leads the execution of large scale, more complex analytics projects. Applies significant quality control and risk assessment of the model, methodologies, outputs, and processes for major data science projects.</p> </li><li> <p>Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities. Mentors and develops junior data scientists and analysts.</p> </li><li> <p>Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.</p> </li><li> <p>Engages with senior leadership to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.</p> </li><li> <p>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.</p> </li><li> <p>Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.</p> </li><li> <p>Participates in special projects and performs other duties as assigned.</p> </li></ul> <p>Qualifications</p> <ul> <li> <p>Minimum of ten years related work experience in analytical roles. Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods required.</p> </li><li> <p>Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience. Graduate degree preferred.</p> </li></ul> <p>Special Factors</p> <p>Sponsorship</p> <p>Vanguard is not offering visa sponsorship for this position.</p> <p>About Vanguard</p> <p>At Vanguard, we don't just have a mission-we're on a mission.</p> <p>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.</p> <p>How We Work</p> <p>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.</p>