Hiring: VP, Principal Quant Engineer Company: Acadian Asset Management Location: Boston, MA Job Posted Time: 2026-09-16 11:42:12 Employment Type: Hybrid Target Skills & Keywords : Deep Learning, MLflow, Machine Learning, Portfolio Management, PyTorch, Python, Systems Design About the job Experience: •7+ years of experience in software engineering, with significant hands-on work supporting quantitative research, signal development, or systematic investing in production environments. Required Skills: •We are seeking a Principal Quant Engineer to work in close collaboration with Research, Portfolio Management, and Data teams to design and implement scalable, production-grade platforms that support Acadian’s quantitative research and investment processes. •Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week. •Design and implement quant tooling that supports signal construction and evaluation workflows, powering production portfolios across global asset universes. •Work closely with quantitative researchers to ensure research infrastructure continues to evolve in step with their needs, enabling efficient experimentation and reliable alpha generation. •Lead the AI centric development and evolution of core platform capabilities that support signal computation, data access, workflow orchestration, and distributed execution for both quantitative signals and machine learning-based techniques, including deep learning workflows built with PyTorch. •Ensure platform flexibility while maintaining integration with downstream processes for portfolio construction, portfolio management, marketing, client reporting, etc •Incorporate machine learning and AI techniques into signal construction, parameter estimation, and efficacy evaluation workflows where they improve forecast quality and research productivity, including hyper‑parameter optimization using frameworks such as Optuna or similar. •Provide architectural leadership to improve robustness, transparency, scalability, and performance of data- and compute-intensive research and production workflows. Qualifications: •We’re Looking For Teammates With Bachelor’s degree or higher in Computer Science, Engineering, Applied Mathematics, or a related quantitative field. Compensation: •$185,000 - $225,000 / year •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!