Job description

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 $232 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: · Build, test, and enhance new tools to attribute drivers of portfolio positions, returns, and risk to alpha, risk, transaction, and liquidity models. · Participate in and facilitate research efforts to improve the investment process informed by feedback from the attribution systems you build. · Develop full-stack applications using Python, React, JavaScript, ensuring speed, reliability, and maintainability. · Design and implement backend systems using Python, Ray, and databases for scalable, high-performance data processing. · Optimize and unify reporting across multiple geographies, strategies, and use cases, including exception-based management reports. · Implement cloud-ready modular and extensible solutions that are easy to maintain and update as investment needs evolve. · Work with data structures and APIs to ensure fast and efficient access to portfolio insights. · Develop and maintain the internal configuration-based language for portfolio analysis. · Collaborate with portfolio managers, quants, and engineers to align tools with investment workflows. We’re Looking for Teammates With: · 6-10 years of full-stack development or portfolio tools engineer experience using Python, Ray, React, JavaScript, and modern front-end frameworks. · CFA designation is a plus. · Strong backend engineering skills, including API design, distributed parallel computing, and experience with both relational and non-relational databases. · Some investment domain knowledge, particularly in portfolio decomposition, attribution, or risk analysis. · Experience optimizing software systems for performance, scalability, and cloud deployment. · This is an execution-heavy role for an engineer who wants to build fast, scalable, and maintainable tools that drive real-time investment 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 $160,000 – $175,000 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. To apply for this position or view Acadian’s open roles, please visit the Careers section of our website at: [application link] . We will contact only selected candidates. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at recruiting@acadian-asset.com. Acadian Asset Management LLC is committed to providing equal employment opportunity to all employees and applicants. No employee or applicant shall be discriminated against on the basis of gender, race, creed, color, sex, age, national origin, marital status, pregnancy or parenthood, veteran status, citizenship status, disability, gender identity, or sexual orientation.

Requirements

Must-haves

Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.
Build, test, and enhance new tools to attribute drivers of portfolio positions, returns, and risk to alpha, risk, transaction, and liquidity models.
Participate in and facilitate research efforts to improve the investment process informed by feedback from the attribution systems you build.
Develop full-stack applications using Python, React, JavaScript, ensuring speed, reliability, and maintainability.
Design and implement backend systems using Python, Ray, and databases for scalable, high-performance data processing.
Optimize and unify reporting across multiple geographies, strategies, and use cases, including exception-based management reports.
Implement cloud-ready modular and extensible solutions that are easy to maintain and update as investment needs evolve.
Work with data structures and APIs to ensure fast and efficient access to portfolio insights.
Develop and maintain the internal configuration-based language for portfolio analysis.
Collaborate with portfolio managers, quants, and engineers to align tools with investment workflows.
6-10 years of full-stack development or portfolio tools engineer experience using Python, Ray, React, JavaScript, and modern front-end frameworks.
Strong backend engineering skills, including API design, distributed parallel computing, and experience with both relational and non-relational databases.
Some investment domain knowledge, particularly in portfolio decomposition, attribution, or risk analysis.
Experience optimizing software systems for performance, scalability, and cloud deployment.
This is an execution-heavy role for an engineer who wants to build fast, scalable, and maintainable tools that drive real-time investment 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

Nice-to-haves

CFA designation is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonreactjavascriptapi

Platform: greenhouse
Effort: quick

Benefits

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