Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design and implement quantitative tools for portfolio construction and attribution
Build analytic models, data pipelines and interactive dashboards in Python, SQL, Dash and Power BI
Apply statistics, machine learning and GPT-based methods to market analysis and strategy
Oversee multiple projects at once and ensure timely, high-quality delivery
Design and implement quantitative methods and tools for portfolio construction, performance & attribution
Build and refine analytic models, develop robust data pipelines and interactive dashboards, leveraging advanced Python, SQL, Dash and Power BI
Employ statistical techniques, machine learning algorithms, and GPT-based solutions to improve market analysis
Oversee multiple projects simultaneously, ensuring timely delivery of high-quality results.
Experience & Technical Skills
Excellent communication skills and the ability to work collaboratively in a fast-paced environment.
3+ years of experience in portfolio analysis or investment management, with a strong preference for systematic fixed-income experience.
Education - Numerate self-starter with a bachelor’s degree in finance, Economics, Mathematics, Computer Science, Engineering, or a related field ( Masters degree preferred, CFA a plus. Experience & Technical Skills
We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions.
In the employer’s words · Read in context
Open 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 154
Up longer than most. Similar jobs usually come down between day 7 and day 55.
Well past Libertymutual’s usual: its jobs come down by about day 10.
From 10,129 similar postings that came down, and 27 of Libertymutual’s. Coming down is not always a hire.
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Quantitative Model Development Systematic Alpha ResearchDesign and implement quantitative methods and tools for portfolio construction, performance & attribution, and investment strategies in collaboration with Portfolio Managers, Traders, and Risk Managers. - Analytics & VisualizationBuild and refine analytic models, develop robust data pipelines and interactive dashboards, leveraging advanced Python, SQL, Dash and Power BI to translate complex data sets into actionable insights. - Machine Learning & AIEmploy statistical techniques, machine learning algorithms, and GPT-based solutions to improve market analysis, develop investment strategies, and enhance decision-making processes.
- 3+ years of experience in portfolio analysis or investment management, with a strong preference for systematic fixed-income experience. - Must have hands-on experience with Python, SQL and familiarity with BI/visualization tools (Dash, Power BI, Jupyter Notebooks). - Nice-to-have, Practical knowledge of machine learning and AI (including GPT-based models) and their applications in financial analysis.
Complete your application on careers-libertymutual.icims.com. The employer’s form will show what is required.
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Liberty Mutual Investments (LMI) manages Liberty Mutual Insurance Group’s (LMIG) global financial assets across public and private markets to build capital and generate income. With over $100 billion in assets under management and a team of more than 300 investment, finance, and operations professionals based in Boston, MA, LMI offers the best of both worlds: the entrepreneurial spirit of a boutique investment firm backed by the reputation and financial strength of a global leader.
LMI is on a transformational journey to foster innovation, build on our deep expertise, and further scale returns on our long-term capital through a “one firm, one portfolio, one team” approach. Our operating model is built on three pillars: centralized portfolio construction, asset management, and investment-enabling services. Teams are organized into Investment Business Units (IBUs): Strategy & Asset Allocation, Risk Management, Global Fixed Income, Global Private Investments, and Global Investment Solutions. Our portfolio spans a wide range of asset classes, and we are committed to expanding our capabilities and toolkit to deliver on our mission.
We are seeking a Senior Quantitative Analyst to join the Investment Innovation, Integration & Trading (I3T) team within the Global Liquid Markets (GLM) unit. In this role, you will apply advanced quantitative methods, data modeling, and emerging technologies to enhance investment decision-making across various fixed-income strategies. You will collaborate with team members, Portfolio Managers, and Traders to tackle high-profile projects involving portfolio construction, performance assessment, and the development of new systematic fixed income strategies. This position is pivotal in advancing our team’s expertise and helping LMI thrive in the constantly evolving global financial landscape. #LMI #LM-LMI
Education
Experience & Technical Skills
Tools & Systems
Soft Skills
Compensation offered is based off a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices
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Boston, MA
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