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NEXTMOVEFDE careers · United States

Senior Quantitative Equity Systems Developer

AI summary of the role

Senior engineer to design, build, and operate cloud-native platforms powering quantitative equity models across research, back-testing, and production.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Design, build, and operate cloud‑native platforms that run quantitative equity models across research, back‑testing, and production workflows
  • Partner closely with portfolio managers, quantitative researchers, and traders to translate investment ideas into robust, scalable technology solutions
  • Architect systems that support active equity portfolio construction, risk modeling, factor analytics, and execution workflows
  • Lead technical design decisions across distributed systems, data pipelines, and compute‑intensive workloads

What you’ll bring

  • Minimum of ten years related work experience, with at least five years of development experience and prior Investment Systems experience
  • Strong understanding of quantitative or active equity investing, including factors, signals, portfolio optimization, risk, and execution
  • Deep expertise in modern software engineering, distributed systems, data-intensive architectures, and cloud-native platforms
  • Strong proficiency in Python and modern data processing/numerical computing tools (e.g., Polars)

Technologies

Python · Polars · AWS · EC2 · CloudWatch · ECS · SageMaker · Step Functions · Lambda · Postgres · Claude Code

About Vanguard

Investor-owned asset manager offering low-cost funds, ETFs, advice, and retirement services to individual, advisor, workplace, and institutional clients.

Bootstrapped · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

What You’ll Do: Design, build, and operate cloud‑native platforms that run quantitative equity models across research, back‑testing, and production workflows Partner closely with portfolio managers, quantitative researchers, and traders to translate investment ideas into robust, scalable technology solutions Architect systems that support active equity portfolio construction, risk modeling, factor analytics, and execution workflows Integrate 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 services Lead technical design decisions across distributed systems, data pipelines, and compute‑intensive workloads Drive engineering best practices around resilience,
More from the job description

What You’ll Do: Design, build, and operate cloud‑native platforms that run quantitative equity models across research, back‑testing, and production workflows Partner closely with portfolio managers, quantitative researchers, and traders to translate investment ideas into robust, scalable technology solutions Architect systems that support active equity portfolio construction, risk modeling, factor analytics, and execution workflows Integrate 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 services Lead technical design decisions across distributed systems, data pipelines, and compute‑intensive workloads Drive engineering best practices around resilience, observability, performance, and security in a front‑office environment Mentor and influence other engineers, raising the overall technical bar of the team Ability 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 platforms What we’re Looking For: This role is designed for candidates who are equally comfortable in investment conversations and de [... source excerpt omitted ...] scussions. 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, wit [... source excerpt omitted ...] ent 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 containeriza

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