Manager – Portfolio Tools Engineering

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 $120 billion on behalf of leading institutions worldwide—including 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. We’re united by a shared purpose: delivering effective client outcomes and supporting one another in work that’s both challenging and rewarding. We offer a flexible hybrid work environment, strong benefits, and a casual but focused office culture—all designed to support the meaningful, collaborative work that defines Acadian.

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:

• Bachelor’s degree in a relevant discipline; CFA designation is a plus
• 7-10 years experience leading and managing full-stack engineering teams in a quantitative finance, hedge fund, or asset management environment
• 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
• 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

The base salary range for this role is $195,000 – $245,000 per year. Actual compensation will be determined based on a candidate’s skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian’s comprehensive benefits program, which includes health, retirement, and wellness offerings.