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
As a member of the Trading Desk, you will work directly with Quantitative Developers, Researchers, and the Systematic Credit Portfolio Managers. In addition to trading for Acadian’s credit portfolios, you will be researching, developing, deploying, and monitoring cutting edge pricing models and strategies. Acadian’s credit capabilities focus on credit long-short, high-yield, and investment-grade corporate bonds. Acadian supports a hybrid work environment, employees are on-site in the Boston office 3 days a week.
What You’ll Do
- Act as a facilitator for the placement of cash and synthetic trades for the suite of systematic strategies
- Contribute to research which improves the pricing model and execution methodology
- Gain in-depth knowledge of transaction cost models and aspects of portfolio construction in the furtherance of ongoing idea generation and process improvements
- Contribute to the development of the systematic order management framework/workflow, including execution management and transaction cost analysis
We’re Looking For Teammates With
- A Bachelor’s degree in STEM, statistics, or mathematics
- 10+ years of work experience trading corporate bonds (domestic and international) and credit derivatives; experience trading other fixed income securities a plus
- Firm understanding of credit market structure and familiarity with a wide range of implementation strategies
- Experience with quantitative/systematic strategies within Credit Markets
- Strong Python programming
- Working expertise with OMS/EMS platforms (Charles River, TSImagine, MarketAxess, TradeWeb, etc)
- World-class analytical skills and the ability to clearly articulate the approach, process, and results in verbal, graphical and written form
- Willingness and ability to work in a collegial, results-oriented environment – must be a strong team player
- Interest in following financial markets and a strong quantitative orientation for investing
- Drive to deliver on high value projects and a roll up your sleeves attitude
The base salary range for this role is $180,000– $230,000 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 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.
