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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.