Campus Quantitative Trader (Intern)

Position Overview Acadian Asset Management LLC is a Boston‑headquartered investment management firm with wholly owned affiliates located in Singapore, London, and Sydney. As of September 30, 2024, the firm managed approximately US$120 billion on behalf of major pension funds, endowments, foundations, governments and other investors based in the U.S. and abroad. We are looking for a Senior Quant Engineer 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 three days a week. What You’ll Be Doing 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. Familiarize yourself with Acadian’s quant system design, architecture and tool chain, and be able to trace/debug/enhance components of an investment system. Learn about Equity Alternatives investment processes and production job workflow. Make significant contributions to investment strategies integration project. Help to enhance and optimize the existing codebase to run more efficiently in AWS environments. Support Equity Alternatives daily operations, client requests and ad‑hoc enhancements. Enhance object model framework and codebase. 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 5+ years of experience as a developer for an investment firm; Bachelor’s degree with 7+ 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 compute, containers, pipelines/scheduling and their relevant tools. Familiar with financial data series, building and optimizing data structures and operating data delivery platforms. Advanced analytic skills and the ability to clearly articulate the approach, process and results in verbal, graphical and written form. Creativity, enthusiasm, collegiality and the ability to excel in a self‑starting environment. Strong work ethic and roll up your sleeves attitude to deliver projects under a tight schedule. Why Work Here Acadian is a quantitative investment firm where ideas are empowered by technology. Our team is made up of a diverse mix of professionals who thrive in a culture that fosters ingenuity through collaboration and transparency. We offer a casual office environment, top‑notch benefits, and excellent professional and personal development opportunities. 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. #J-18808-Ljbffr Quant Blueprint LLC