Senior Fixed-Income Quant Analyst - AI-Driven Portfolio

Liberty Mutual Investments; Boston (MA); On-site; USD 120,000 - 190,000; Full time

Job summary

Liberty Mutual Investments in Boston, MA seeks a Senior Quantitative Analyst for the I3T team within GLM to apply advanced quantitative methods to fixed-income strategies. You will work with Portfolio Managers and Traders on portfolio construction, performance analysis, and new systematic strategies.

The role requires 3+ years in portfolio analysis or investment management, strong Python and SQL skills, and familiarity with Dash and Power BI. Knowledge of ML/AI and GPT-based models is a plus.

Qualifications

• Bachelor’s degree in Finance/Economics/Math/CS/Engineering; Masters preferred, CFA a plus.
• 3+ years in portfolio analysis or investment management with fixed-income emphasis.
• Hands-on Python and SQL; familiarity with Dash/Power BI/Jupyter Notebooks; ML/AI knowledge welcome.

Responsibilities

• Design and implement quantitative models for portfolio construction and performance attribution.
• Develop analytic dashboards and data pipelines to translate data into insights.
• Apply ML/AI techniques and GPT-based solutions to market analysis and strategy development.
• Identify opportunities to upgrade fixed-income analytics and stay ahead of industry trends.
• Coordinate multiple projects with PMs, Traders, and Risk Managers to ensure timely delivery.

Skills

Python

SQL

Fixed-income

Portfolio analysis

GPT-based models

Education

Bachelor’s degree in Finance/Economics/Math/CS/Engineering

Masters preferred; CFA a plus

Tools

Dash

Power BI

Jupyter Notebooks

Aladdin

Bloomberg

Job description

Liberty Mutual Investments in Boston, MA seeks a Senior Quantitative Analyst for the I3T team within GLM to apply advanced quantitative methods to fixed-income strategies. You will work with Portfolio Managers and Traders on portfolio construction, performance analysis, and new systematic strategies.

The role requires 3+ years in portfolio analysis or investment management, strong Python and SQL skills, and familiarity with Dash and Power BI. Knowledge of ML/AI and GPT-based models is a plus.