VP, Principal Quant Engineer

Acadian Asset Management is a global systematic investment manager at the forefront of data-driven investing since 1986. Headquartered in Boston with locations in Singapore London and Sydney we manage over $170 billion on behalf of leading institutions worldwideincluding pension funds endowments foundations and sovereign wealth funds. We harness advanced technology rich datasets and multidisciplinary expertise to help clients navigate complex markets and uncover insights that may be overlooked by traditional approaches.

What sets Acadian apart is our people. We foster a collaborative intellectually curious environment where ideas are tested diverse perspectives are welcomed and innovation thrives. Were united by a shared purpose: delivering effective client outcomes and supporting one another in work thats both challenging and rewarding. We offer a flexible hybrid work environment strong benefits and a casual but focused office cultureall designed to support the meaningful collaborative work that defines Acadian.

Position Overview:

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 Acadians quantitative research and investment processes.

This role focuses on building quant tooling that enables researchers to efficiently develop evaluate and deploy quantitative models across investment processes including alpha risk transaction cost analysis attribution etc. The emphasis is on creating infrastructure that makes quantitative research repeatable observable and production-ready at scale.

Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What Youll Do:

• 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 hyperparameter 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.
• Collaborate with data and platform teams to streamline access to market data alternative datasets and compute resources reducing friction in the research inner loop of signal development backtesting and validation.
• Contribute to the endtoend machine learning lifecycle capabilities including experiment tracking model management embedding and graph visualization and deployment drawing on tools and concepts such as MLflow.

Were Looking for Teammates With:

• Bachelors degree or higher in Computer Science Engineering Applied Mathematics or a related quantitative field.
• 7 years of experience in software engineering with significant hands-on work supporting quantitative research signal development or systematic investing in production environments.
• Demonstrated experience building and operating quantitative platforms that support signal modeling evaluation and deployment at scale.
• 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.
• Solid understanding of system design concepts.
• Demonstrated ability to deliver robust transparent and performant systems.
• Strong attention to detail and a commitment to producing accurate reliable and well-engineered solutions.
• Creativity and enthusiasm for solving complex problems.
• Strong work ethic and a roll-up-your-sleeves mindset with the ability to operate effectively in a hands-on collaborative environment.

The base salary range for this role is $185000 $225000per year. Actual compensation will be determined based on a candidates skills qualifications and relevant addition to base pay this position may be eligible for discretionary incentive compensationand includes participation in Acadians comprehensive benefits program which includes health retirement and wellness offerings.

To apply for this position or view Acadians open roles please visit the Careers section of our website at: We will contact only selected candidates. If you are a candidate with a disability or are assisting a candidate with a disability and require an accommodation to apply for one of our jobs please email us at

Acadian Asset Management LLC is committed to providing equal employment opportunity to all employees and applicants. No employee or applicant shall be discriminated against on the basis of gender race creed color sex age national origin marital status pregnancy or parenthood veteran status citizenship status disability gender identity or sexual orientation.