Acadian Asset Management LLC is a Boston-headquartered investment management firm with wholly owned affiliates in Singapore, London, and Sydney. As of December 31, 2024, the firm managed approximately US$117 billion on behalf of major pension funds, endowments, foundations, governments, and other investors in the U.S. and abroad.

Position Overview:

Building on a multi-decade history in quantitative equity, Acadian has expanded its reach into multi-asset, alternative equity, and systematic credit. Acadian’s investment data engineering function is developing a platform to enhance its data capabilities, enabling operations at significant scale across a broad array of asset classes. We are seeking a senior contributor to help design, build, and support a data platform that will drive our investment process.

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

What You’ll Do:

Design and build a highly scalable data platform using various data storage and high-performance computing technologies on AWS.
Develop patterns, frameworks, and tooling to seamlessly integrate new data content and derived metrics while ensuring data quality.
Collaborate with data and technology teams to extend data quality capabilities and establish support practices for the investment data platform.
Participate in design reviews of advancements in Acadian’s investment decision systems to promote adoption and ensure seamless integration with the data platform.
Develop familiarity and expertise in investment data content and its role in Acadian’s investment strategies.
Maintain all aspects of daily investment process systems, including production jobs.
Engineer solutions that are well-tested, high-quality, and extensible.

We’re Looking for Teammates With:

Bachelor’s degree with an outstanding academic record in a technical field such as mathematics, science, or engineering; a CFA charter is a plus.
Superior software development, data modeling, and programming skills to move quickly from concept to solution, with a solid understanding of the software development life cycle.
Significant hands-on development experience with Python for modeling/analytical work and SQL for data access and architecture using libraries such as Pandas, Polars, Ibis).
An understanding of the best fit for column, key-value, document, relational, time-series, and file stores.
Experience working with AWS cloud services (e.g., S3, EC2, ECS) and Kubernetes.
Familiarity with data platforms and tools such as DuckDB, ClickHouse, MongoDB, Iceberg, PostgreSQL, DynamoDB, and Redis, as well as orchestration tools (e.g., Dagster, Airflow).
Creativity, enthusiasm, collegiality, and the ability to excel in a self-starting environment.
A drive to deliver high-value projects with a roll-up-your-sleeves attitude.
Outstanding analytical skills and the ability to clearly articulate approaches and results in verbal, graphical, and written form.

Senior Data Platform Engineer