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As a data strategy and engineering lead you will design and implement data platforms for quantitative research and model development. The data engineering lead will work closely with quant researchers, data scientists and full stack engineers to develop new capabilities supporting proprietary front office investment systems. The ideal candidate is an experienced data engineer with deep expertise in multiple investment data domains.
Investment Management Fintech Strategies (IMFS) is a global team headquartered in Malvern, Pennsylvania. IMFS serves to actively explore new technologies in ways that could dramatically improve the Vanguard’s investment performance, make capital markets work better for our investors, and embed a culture of innovation throughout Vanguard. This team seeks out internal and external partners and prospects all aspects of technology for ways to experiment and disrupt securities investing across all asset classes. We focus on data strategies including new sources of data and advanced analytics capabilities including machine learning and artificial intelligence; platform and visualization strategies; and market structure strategies.
Responsibilities:
Design and enhance proprietary data pipelines and market data platforms
Lead the onboarding of new data products for research and hypotheses testing requiring large scale historical data
Work closely with data scientists on implementation of AI/ML models
Mentor junior engineers to develop production quality code, data pipelines and analytics tools
Collaborate with product and technology teams to drive the integration of analytics tools into production systems
Work on proof-of-concepts and prototypes involving ingestion of unstructured data into Generative AI tools
Stay current on latest innovation in application of AI in financial markets
Requirements:
Educational background in Computer Science, Engineering, Statistics, or related discipline with excellent academic credentials
Strong knowledge of multiple financial data domains
Deep knowledge of database concepts with proficiency in SQL and stored procedures
7+ years of strong coding experience in Python, Java, or Scala
Demonstrated hands-on experience designing and delivering data platforms on AWS, using managed services for ingestion, processing, storage, and orchestration.
Experience in processing large and complex datasets
Exposure to equities trading environment and domain knowledge in market microstructure a plus
Has intellectual curiosity and is highly motivated to learn application of new technologies
Strong communication skills and ability to collaborate across teams
Self-starter, motivated, independent, curious, versatile team player
Special Factors
Sponsorship
Vanguard 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.
hackajob is partnering with Vanguard to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.