Senior Financial Data Engineer

• Posted 8 days ago • Updated 5 days ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Investment Management
  • Capital Market
  • Securities
  • FOCUS
  • Advanced Analytics
  • Visualization
  • Market Analysis
  • Onboarding
  • Research
  • Testing
  • Machine Learning (ML)
  • Mentorship
  • Analytics
  • Prototyping
  • Unstructured Data
  • Generative Artificial Intelligence (AI)
  • Innovation
  • Artificial Intelligence
  • Computer Science
  • Statistics
  • Database
  • SQL
  • Stored Procedures
  • Python
  • Java
  • Scala
  • Amazon Web Services
  • Managed Services
  • Storage
  • Orchestration
  • Equities
  • Trading
  • Communication
  • Finance
  • Collaboration

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 24024769
  • Posted 8 days ago
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