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Quantitative Researcher – Portfolio Management
Job in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-09-12
Listing for:
Jobtailor
Full Time
position Listed on 2026-09-12
Job specializations:
-
Finance & Banking
Financial Analyst, Data Scientist
Job Description & How to Apply Below
- Support portfolio managers and investment teams through quantitative analysis, portfolio monitoring, and market research.
- Develop and maintain analytical tools used for portfolio evaluation and risk assessment.
- Analyze large datasets to identify trends, anomalies, and actionable investment insights.
- Assist in the implementation and refinement of systematic investment approaches across fixed income markets.
- Collaborate with technology and research teams to improve workflow automation and reporting capabilities.
- Evaluate portfolio exposures and assist with performance attribution and risk analysis.
- Produce reporting materials and investment analytics for internal stakeholders.
- Contribute to ongoing research projects related to financial markets, portfolio construction, and investment strategy development.
- Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, Physics, or another quantitative discipline.
- 1-4 years of experience in portfolio analytics, quantitative research, investment management, risk analysis, or financial technology.
- Familiarity with fixed income products, macroeconomic analysis, or systematic investment strategies is a plus.
- Exposure to machine learning, cloud technologies, or data engineering tools is beneficial.
Demonstrates expertise in quantitative analysis, portfolio monitoring, and risk assessment, with a strong foundation in data analysis and investment strategy development. Proficient in developing analytical tools and collaborating with cross-functional teams to enhance reporting and workflow automation.
Highest-signal resume keywords- Quantitative Analysis
- Portfolio Analytics
- Risk Analysis
- Data Analysis
- Fixed Income Products
- Statistical Analysis
- Data Engineering
- Machine Learning
- Portfolio Evaluation
- Performance Attribution
- Collaboration
- Communication
- Investment Management
- Financial Technology
- Systematic Investment Strategies
- Macroeconomic Analysis
- Analytical Tools
- Cloud Technologies
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