Manager, Portfolio Tools Engineering

Acadian Asset Management LLC is a Boston-headquartered investment management firm with wholly owned affiliates located in Singapore, London, and Sydney. As of March 31, 2025, the firm managed approximately US$121 billion on behalf of major pension funds, endowments, foundations, governments and other investors based in the U.S. and abroad.

Position Overview:

This is an opportunity to own and evolve one of the firm’s flagship internal software products, delivering a market-leading portfolio management and decomposition platform that provides a competitive edge in systematic investing.

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

What You’ll Do:

• Lead and manage a team of highly skilled portfolio tools engineers/full-stack engineers developing and enhancing a suite of portfolio management tools focused on decomposition, attribution, risk analysis, and transparency across portfolios.
• Architect and build the next-generation version of the portfolio decomposition and analytics platform, ensuring it is extremely fast, flexible, and scalable to meet the evolving needs of portfolio managers.
• Develop and maintain a rich, configuration-based language that enables portfolio managers to slice and dice portfolios at multiple levels (portfolio-level, asset-class level, etc.).
• Enhance capabilities for portfolio-level decomposition of weights, returns, and risks, allowing detailed breakdowns by classifications, geographies, strategies, factors, and asset classes.
• Design and implement enterprise-grade investment applications that are robust, battle-tested, and optimized for performance and usability.
• Work side-by-side with portfolio managers across equities, credit, and multi-strategy in Boston, Singapore, London, and Sydney, ensuring the tools align with their investment workflows.
• Ensure seamless integration of real-time investment insights into portfolio managers’ decision-making processes, enabling them to answer questions on the spot without dependencies on other teams.
• Set direction for engineering, ensuring best practices in software architecture, scalability, and maintainability while remaining hands-on in development.
• Drive innovation in investment data workflows, optimizing how portfolio data is processed, stored, and queried to provide instantaneous insights.
• Collaborate closely with quantitative researchers, risk teams, and data engineers to ensure the investment stack is well-integrated and efficient.
• Leverage technologies such as Python, React, JavaScript, Streamlit, Dash, and other data application frameworks to create intuitive, high-performance tools.
• Foster a high-performance engineering culture, ensuring best-in-class code quality, execution speed, and maintainability.

We’re Looking for Teammates With:

• · Extensive experience (10+ years) of leading and managing full-stack engineering teams in a quantitative finance, hedge fund, or asset management environment.
• · CFA designation is a plus.
• · Deep domain knowledge of the pre-trade investment process, including portfolio construction, risk management, and factor-based investing.
• · Hands-on expertise in developing financial applications using Python, React, JavaScript, and related technologies.
• · Experience working with portfolio decomposition, attribution, risk modeling, and classification frameworks.
• · Strong understanding of investment data structures and the full investment technology stack, including data modeling, storage, and retrieval at scale.
• · Prior experience building high-performance, low-latency investment tools that enable real-time analysis and decision-making.
• · Familiarity with data visualization and interactive frameworks such as Streamlit, Dash, and web-based analytics applications.
• · Strong leadership and technical vision-setting skills, with the ability to drive execution while maintaining a hands-on role in development.
• · A track record of delivering scalable, flexible software platforms that enhance portfolio transparency and decision-making.
•  Additional qualities which would be preferred include:
• · Understanding of quantitative investment strategies such as those used by Acadian or other quantitative equity managers
• · Ability to work as an effective team player, as well as a self-starter, who is willing to roll up their sleeves to help accomplish team goals
• · Ability to work well in a fast-paced, quickly changing environment with time deadlines