Join a dynamic team supporting model development and operations for research and insights within investment management. In this role, you’ll lead and mentor a team of 6–10 engineers while driving the technical strategy and implementation of scalable model solutions. You’ll work at the intersection of data engineering and machine learning, building modern serverless and microservices-based architectures using AWS technologies like Lambda, Step Functions, S3, and EventBridge. This is a great opportunity for a hands-on technical leader with strong Python and AWS expertise, a solid understanding of the software development lifecycle, and experience working with complex, multi-dimensional data.

Key Responsibilities:

• Lead, mentor, and develop a team of 6–10 engineers, driving delivery and technical excellence across model development and operations.
• Define and execute the technical strategy for scalable model engineering solutions supporting research and investment insights.
• Oversee end-to-end software development lifecycle (SDLC), ensuring high-quality, reliable, and maintainable systems.
• Design and implement cloud-native architectures leveraging AWS serverless and microservices components.
• Partner with cross-functional teams to integrate data engineering and machine learning solutions into production environments.
  
  
  

Qualifications:

• Minimum of eight years related work experience, with at least three years of development experience.
• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
• Strong background in data engineering and machine learning, with hands-on development experience.
• Experience in software lifecycle development and modern engineering best practices.
• Deep understanding of serverless architecture and microservices frameworks.
• Proficiency working with Python and data processing tools such as Pandas.
• Experience with AWS services including Lambda, Step Functions, S3, and EventBridge.
• Familiarity with advanced mathematical concepts, including vectors and multi-dimensional calculations.
• Demonstrated leadership experience managing and guiding technical teams.
  
  
  

Preferred Qualifications:

• AWS Certification.
  
  
  

Special Factors

Sponsorship

Vanguard is not 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.