Data Analytics Lead in Financial Crimes

Vanguard • Dallas, TX

80d • Hybrid

About The Position

We are seeking a strategic analytics leader to join our Financial Crimes and Code team, responsible for developing analytical strategies to identify risk and crime trends. This role transforms complex data from the OGC 360 Data Lake into compelling stories and actionable insights that support financial crime prevention, enhance risk detection, and deliver measurable business value. The role requires a blend of advanced analytical skills, strategic thinking, and leadership capabilities.

Requirements

• Proven experience in data analytics
• Experience in financial crime analysis is highly desired
• Strong relationship management and stakeholder engagement skills
• Ability to solve big and ambiguous problems using data-driven strategies
• Experience with Bloomberg and Morningstar for industry insights
• Excellent communication and storytelling skills
• Strong ability to influence and collaborate with senior stakeholders to drive strategic initiatives and achieve business objectives
• Strong understanding of marketing mix modeling techniques, including multivariate regression and time-series analysis
• Ability to analyze large datasets from various channels to understand the impact of different financial crimes activities and other key performance indicators
• Proven track record in developing and maintaining advanced statistical models to estimate the effectiveness of marketing tactics and predict future performance
• Experience with tools and technologies such as Tableau, Power BI, Python, SQL, Redshift, AWS

Responsibilities

• Drive strategic initiatives that enhance analytical capabilities to detect and mitigate financial crime and risk
• Optimize data-driven solutions for financial crime prevention and risk intelligence
• Strengthen analytics infrastructure to support financial crime detection and risk management
• Elevate the strategic use of analytics in combating financial crimes and assessing risk exposure
• Refine and scale analytical frameworks for financial crime insights and risk evaluation
• Drive innovation in analytics to uncover financial crime patterns and emerging risk trends
• Modernize analytics platforms using AI tools to improve financial crime surveillance and risk forecasting
• Deploy targeted analytics to support proactive financial crime intervention and risk controls
• Transform raw data into actionable intelligence for financial crime and risk operations
• Integrate advanced analytics into financial crime strategy and enterprise risk oversight
• Develop and implement analytical strategies to identify financial crime patterns and risk trends
• Analyze large datasets from Data Lake to uncover insights and support decision-making
• Create compelling data stories to communicate findings to stakeholders and leadership
• Design and deliver executive-level dashboards and reporting frameworks
• Collaborate with cross-functional teams to align analytics with business goals
• Utilize Bloomberg and Morningstar for industry insights and benchmarking
• Foster a data-driven culture through relationship management and stakeholder engagement
• Ensure data quality, governance, and compliance across all analytics initiatives
• Solve complex and ambiguous problems with innovative analytical approaches

What This Job Offers

• Industry: Funds, Trusts, and Other Financial Vehicles