Summary

Job Context

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Job Responsibilities

1. Develop and execute a comprehensive data research strategy that aligns with Vanguard’s investment management goals, focusing on delivering actionable insights that drive product innovation and portfolio performance.
2. Oversee the identification, acquisition, and integration of diverse data sources, including market data, alternative data, and proprietary research, to support the development of investment products and strategies.
3. Build, manage, and mentor a high-performing team of data scientists, quantitative researchers, and analysts, fostering a culture of innovation, collaboration, and continuous improvement.
4. Work closely with product managers, portfolio managers, and other key stakeholders across Vanguard to ensure data research initiatives are aligned with business needs and investment objectives.
5. Drive the exploration and adoption of new data technologies, tools, and methodologies to enhance Vanguard’s data research capabilities and competitive advantage in the investment management industry.
6. Ensure the accuracy, reliability, and security of all investment data through robust data governance practices, including data validation, quality control, and compliance with industry regulations.
7. Lead the development of advanced analytical models and data-driven insights that inform investment decisions, product development, and client engagement strategies.
8. Serve as a thought leader within Vanguard and the broader investment community, representing the firm at industry conferences, publishing research findings, and contributing to thought leadership initiatives.
9. Define and track key performance indicators (KPIs) for the data research function, measuring the impact of data-driven insights on product performance and investment outcomes.
10. Promote a culture of continuous improvement within the data research team, leveraging feedback, industry trends, and best practices to refine and enhance research methodologies.

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Experience Requirements

• 1 - 2 years

Educational Requirements

• Bachelor/Honors

Skills

• High level of planning & execution capabilities. Bachelor’s degree in Finance, Economics, Data Science, Computer Science, or a related field; Master’s degree or Ph.D. preferred. experience in investment data research, quantitative analysis, or a related field, with significant leadership experience in a financial services or investment management environment. Deep expertise in data science, quantitative research, and statistical modeling, with proficiency in tools such as Python, R, SQL, and advanced data visualization platforms. Extensive knowledge of investment management, including portfolio construction, asset allocation, risk management, and the application of data research to investment strategies. In-depth understanding of the investment management industry, including current trends, challenges, and opportunities, with a focus on the evolving role of data in investment decision-making.

Age

• 24 - 40 Age

Additional Requirements

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Compensation & Other Benefits

• - Mobile Bill , Tour , Holidays , Performance Bonus
• - Salary Review: Half Yearly

Work place

• Work At Office

Employment Status

• Full Time

Gender

• Male

Job Location

• United States