Senior Quantitative Equity Systems Developer

Senior TechnologistWe are seeking a senior, hands-on technologist to join the technology group supporting our Quantitative Equity investment business. Our Quantitative Equity group uses research-driven, systematic methods to generate returns across global active equity strategies. The technology team partners closely with portfolio managers, researchers, traders, and quantitative developers to design, build, and operate the platforms that support research, portfolio construction, risk analysis, and trading. This is a front-office–aligned role, co-located with the Quantitative Equity team on the trading floor, enabling high-bandwidth collaboration and rapid feedback. The role sits at the intersection of systematic investing, active equity portfolio management, and modern software engineering.What You'll Do:Design, build, and operate cloud-native platforms that run quantitative equity models across research, back-testing, and production workflowsPartner closely with portfolio managers, quantitative researchers, and traders to translate investment ideas into robust, scalable technology solutionsArchitect systems that support active equity portfolio construction, risk modeling, factor analytics, and execution workflowsIntegrate and work with carefully selected external vendor data provider solutions, ensuring reliable, performant, and well-governed use of data.Collaborate with centralized enterprise technology teams to adopt and implement approved architectural patterns, platforms, and shared servicesLead technical design decisions across distributed systems, data pipelines, and compute-intensive workloadsDrive engineering best practices around resilience, observability, performance, and security in a front-office environmentMentor and influence other engineers, raising the overall technical bar of the teamAbility to be a change agent, embrace innovation and shape people, process and technology view to solving complex problems.Contribute to the long-term technology strategy for quantitative and systematic investing platformsWhat We're Looking For:This role is designed for candidates who are equally comfortable in investment conversations and deep technical discussions. You sit with the investment team, not behind layers of abstraction. It offers a rare opportunity to operate at the center of technology-driven active equity investing.You will help shape the architecture and direction while embracing and fostering a culture that values technical excellence, intellectual curiosity, and close partnership with the business. If you are a senior engineer or technical lead who enjoys working on complex, high-stakes systems, wants to be deeply embedded in the investment process, and brings both engineering rigor and investment domain knowledge, we would love to hear from you!Requirements:Minimum of ten years related work experience, with at least five years of development experience. Prior Investment Systems experience required.Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.Extensive experience building large-scale, production-grade software systems in complex domains.Strong understanding of quantitative or active equity investing, including concepts such as factors, signals, portfolio optimization, risk, and execution.Demonstrated success working in front-office, investment-aligned technology roles.Deep expertise in modern software engineering, including object-oriented and/or functional programming paradigms, distributed systems and data-intensive architectures, and cloud-native platforms such as containerization, orchestration, and managed cloud services.Strong proficiency in Python and modern data processing and numerical computing tools (e.g., Polars).Familiarity with machine learning and AI-assisted development techniques, including the use of AI or agentic coding tools (e.g. Claude Code) to improve research and engineering productivity.Experience building and supporting AWS architecture including services such as EC2, CloudWatch, ECS, Sage Maker, ECS, Steps Functions, Lambda and Postgres.Experience operating in environments where system performance, reliability, and correctness are business critical.Direct experience supporting quantitative equity, systematic, or multi-factor investment strategies.Familiarity with research and back-testing platforms, market and alternative data, and model lifecycle management.Preferred Experience:Exposure to both legacy enterprise systems and modern engineering stacks, with the ability to modernize thoughtfully.Prior experience working side-by-side with investment teams on a trading floor or similar front-office setting.Strong knowledge of equity trading and execution systems.Special FactorsSponsorshipVanguard is not offering visa sponsorship for this position.About VanguardAt 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 WorkVanguard 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.