## About the Company

Acadian Asset Management is a global, systematic investment manager focused on data-driven investing. Founded in 1986 and headquartered in Boston, the firm also has offices in Singapore, London, and Sydney.

Acadian combines advanced technology, extensive datasets, quantitative research, and multidisciplinary expertise to support investment decisions for institutional clients around the world.

The company promotes a collaborative and intellectually curious environment where employees are encouraged to test ideas, share different perspectives, and develop innovative solutions. Acadian provides a flexible hybrid work environment, comprehensive benefits, and a professional culture focused on meaningful and challenging work.

## About the Role

Acadian Asset Management is seeking a Senior Fullstack Engineer to join its Portfolio Tools Engineering team.

In this role, you will own and evolve one of the firm's flagship internal software products: a portfolio management and decomposition platform that supports systematic investment decision-making.

You will build high-performance tools that help investment professionals understand the drivers of portfolio positions, returns, risk, transactions, and liquidity. The role combines full-stack software engineering, data processing, distributed computing, and investment technology.

You will work closely with portfolio managers, quantitative researchers, and engineers to develop scalable and maintainable applications that align with investment workflows.

This is an execution-focused opportunity for an experienced engineer who enjoys solving complex technical problems and building software that has a direct impact on investment decisions.

## Key Responsibilities

* Build, test, and enhance tools that attribute portfolio positions, returns, and risk to alpha, risk, transaction, and liquidity models.

* Participate in research initiatives designed to improve the investment process.

* Use feedback from portfolio attribution systems to identify opportunities for improvement.

* Develop full-stack applications using Python, React, JavaScript, and modern front-end frameworks.

* Design and implement scalable backend systems using Python and Ray.

* Develop high-performance data-processing solutions using distributed and parallel computing technologies.

* Work with relational and non-relational databases.

* Optimize software for performance, scalability, reliability, and maintainability.

* Develop cloud-ready, modular, and extensible software solutions.

* Build and maintain APIs that provide fast and efficient access to portfolio insights.

* Work with complex data structures and large datasets.

* Optimize and unify reporting across multiple geographies, strategies, and investment use cases.

* Develop exception-based management reporting capabilities.

* Develop and maintain the company's configuration-based language for portfolio analysis.

* Collaborate with portfolio managers, quantitative researchers, and engineering teams.

* Translate investment workflows and requirements into practical software solutions.

* Contribute to system architecture, technical design, testing, and deployment.

* Help ensure portfolio tools remain adaptable as investment requirements evolve.

## Technical Requirements

* 6–10 years of experience in full-stack development or portfolio tools engineering.

* Strong experience with Python.

* Experience with React and JavaScript.

* Experience with Ray or similar distributed computing technologies.

* Strong backend engineering capabilities.

* Experience designing and developing APIs.

* Experience with distributed or parallel computing.

* Experience working with relational databases.

* Experience working with non-relational databases.

* Strong understanding of modern front-end development.

* Experience optimizing applications for performance and scalability.

* Experience developing cloud-ready applications.

* Understanding of software architecture and modular system design.

* Strong experience working with data structures and data-processing systems.

## Investment Domain Knowledge

Experience or knowledge in quantitative investment technology is highly valuable.

Candidates should ideally have an understanding of areas such as:

* Portfolio management

* Portfolio decomposition

* Portfolio attribution

* Risk analysis

* Quantitative investment strategies

* Alpha and risk models

* Transaction and liquidity analysis

* Systematic equity investment strategies

Experience working with quantitative investment managers is a plus.

## Preferred Qualifications

* CFA designation is a plus.

* Experience building portfolio management or investment technology platforms.

* Experience with quantitative finance or systematic investing.

* Experience working with large-scale financial datasets.

* Familiarity with cloud deployment and cloud-native architectures.

* Experience with configuration-driven applications.

* Experience building internal tools for investment professionals.

* Understanding of quantitative equity strategies similar to those used by systematic investment managers.

## Skills & Competencies

The successful candidate should demonstrate:

* Strong problem-solving and analytical skills.

* Excellent software engineering practices.

* Strong understanding of scalable system design.

* Ability to work independently and take ownership of projects.

* Ability to collaborate effectively with portfolio managers, quants, and engineers.

* Strong communication skills.

* Ability to work in a fast-paced and continuously changing environment.

* Strong attention to performance, reliability, and maintainability.

* Willingness to take initiative and contribute wherever needed.

* Ability to manage priorities and meet deadlines.

* A practical, execution-oriented approach to software development.

## Work Environment

Acadian supports a hybrid working model for this position. Employees are expected to work **three days per week on-site at the Boston office**.

The role provides an opportunity to work closely with investment professionals and technical teams while contributing to critical internal investment technology.

## Compensation & Benefits

The base salary range for this position is:

**$160,000–$175,000 per year**

Actual compensation will depend on the candidate's skills, qualifications, experience, and other relevant factors.

In addition to base salary, the position may be eligible for discretionary incentive compensation.

Employees may also participate in Acadian's comprehensive benefits program, which includes:

* Health benefits

* Retirement benefits

* Wellness programs

* Other employee benefits and support programs

## Why Join Acadian?

This position provides an opportunity to work on a flagship portfolio technology platform at a global systematic investment manager.

You will work at the intersection of:

* Software engineering

* Quantitative finance

* Data engineering

* Distributed computing

* Portfolio analytics

* Investment research

* Modern cloud technologies

Your work will directly support tools used to understand portfolio behavior and inform investment decision-making.

## Equal Opportunity

Acadian Asset Management LLC is committed to providing equal employment opportunities to all employees and applicants.

The company does not discriminate on the basis of gender, race, creed, color, sex, age, national origin, marital status, pregnancy or parenthood, veteran status, citizenship status, disability, gender identity, sexual orientation, or any other status protected by applicable law.

All qualified candidates are encouraged to apply.