Software Manager Portfolio Tools

Acadian Asset Management LLCBoston, MA
228d

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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.

Benefits

  • Casual office environment.
  • Top-notch benefits.
  • Excellent professional and personal development opportunities.
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