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:
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.