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:
We are looking for a Senior Analyst to work in collaboration with the Research, Portfolio Management and Data teams to develop and implement new models, architect solutions and build powerful analytic tools. This is an exceptional opportunity to help build out alpha, risk, transaction cost and portfolio analysis systems at Acadian as part of an entrepreneurial team. The successful candidate will be integral to developing the platform and infrastructure for quantitative models used in Acadian’s equity products. As a member of the investment team, this person will closely collaborate with PMs, quantitative researchers and integration analysts. Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.
What You’ll Do:
- Develop, validate and enhance Acadian’s proprietary forecast, risk, transaction cost and attribution models on Acadian’s quantitative research and production infrastructure.
- Implement, enhance and support Acadian’s data platform and modeling infrastructure.
- Work with quantitative portfolio managers to build tools and software libraries to advance analytics platforms using machine learning techniques.
- Build systems to gather, cleanse and integrate data from various sources for research and modelling needs.
We’re Looking for Teammates With:
- Master’s degree with an outstanding academic record in a technical field such as science, engineering or mathematics, with 3+ years of experience as a developer for an investment firm; or bachelor’s degree with 5+ years of experience. CFA charter is a plus.
- Hands on development experience in Python (pandas, sklearn, statmodels, cvxopt, etc). Familiar with popular machine learning algorithms and packages. Good understanding of software system development life cycles.
- Experience in using and building high performance computers, containers, pipelines/scheduling and their relevant tools
- Familiar with financial data series, building and optimizing data structures and operating data delivery platforms.
- Strong mathematical and advanced analytic skills and the ability to clearly articulate the approach, process and results in verbal, graphical and written form.
- Familiarity with large language model (LLM) tools and applications (e.g., prompt engineering, API integration, or agentic workflow) is a strong plus
- Creativity, enthusiasm, collegiality and the ability to excel in a self-starting environment.
- Strong work ethics and roll up your sleeves attitude to deliver projects under tight schedule.
- Great attention to details.
The base salary range for this role is $175,000 – $200,000 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: http://www.acadian-asset.com/careers/Job-opportunities. 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 [email protected].
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.
Top Skills
What We Do
Acadian Asset Management is a global, systematic investment manager. Founded in 1986, Acadian is head-quartered in Boston, with affiliates in London, Singapore, and Sydney. We find our edge in the convergence of talented people, rich data, and powerful tools – all underpinned by a collegial culture with an ardent appetite for continuous research and healthy debate.
Building on the idea that markets are inefficient, we were among the first firms in the world to apply data and technology to the systematic evaluation of global investments. With over 35 years of data-driven insights, we manage equity and credit strategies intended to deliver active returns and alternative strategies designed to deliver absolute, uncorrelated results. Our sustainable investing capabilities provide a platform for both client-specific solutions and a cutting-edge approach to engagement.
DISCLOSURE: Acadian Asset Management is not responsible for the content provided on any linked external site and makes no warranties, express or implied, for the accuracy of any content or use of a third-party website and assumes no liability for any errors, inaccuracies, or omissions for third-party website content. While Acadian is providing a link to a third-party website, Acadian does not control, approve, or endorse the website or any of its contents, its sponsor, or any of the policies, activities, products, or services offered on the site or by any advertiser on the site.
