Job Description
We are seeking a highly skilled and motivated Principal Quantitative Engineer to join our prestigious investment firm. The Quant Solutions team part of Global Strategy & Capital Allocation leads the General Account's asset allocation and portfolio construction process delivering advanced analytics scenario analysis and forward-looking insights to guide long-term annual and tactical investment decisions within regulatory rating agency and portfolio constraints. As the technical lead embedded within this team you will drive the design and implementation of small-scale applications and proofs of concept that advance portfolio construction asset allocation analytics and quantitative research workflows.
You will partner closely with quantitative analysts and portfolio strategists to enhance their day-to-day use of AI helping them build artifacts in a more technically sound manner and building robust systems and tools that scale those prototypes into production-ready applications. We're looking for a hands-on software architect and builder who can design systems rapidly iterate on them and deliver quality solutions that power analytics reporting and investment decision-making.
This role is ideal for a Lead or Senior Engineer who thrives as an individual contributor and wants to drive technical direction without moving into management.
Note: This Boston-based role has a hybrid work arrangement (3 days per week in office).
Responsibilities
- Lead the design and implementation of applications proofs of concept and production-grade tooling that advance portfolio construction asset allocation analytics and quantitative research workflows.
- Partner with quantitative analysts and portfolio strategists to convert AI-generated prototypes and research artifacts into robust production-ready applications.
- Build and maintain data pipelines for portfolio and market data across public and private markets leveraging the LMI data ecosystem.
- Contribute to the team's shared quantitative library supporting both existing and new models analytics and reusable components.
- Support and extend existing applications and dashboards in production and drive the design and implementation of new ones to meet evolving research and decision-support needs.
Qualifications
Qualifications
- Excellent problem-solving and analytical skills with the ability to think critically independently and act with minimal handholding
- Effective communication skills with the ability to clearly articulate complex ideas and analysis to both technical and non-technical stakeholders.
- Strong attention to detail organization and the ability to manage multiple tasks and priorities in a fast-paced environment.
- Full-stack development knowledge with a minimum of 5 years professional experience programming in Python demonstrating the ability to write efficient and robust code able to process and analyze large financial datasets.
- Experience with key Python Libraries (pandas NumPy) required
- Experience in front-end development and user experience (UX) design required; experience with Pythonic front-end and data visualization libraries (e.g. Plotly Dash) preferred.
- Experience using Version Control (Git) required.
- Experience using Agentic Programming tools (Github Copilot Claude) required.
- Experience developing applications for investment management firms or more broadly financial services is a strong plus.
- Strong SQL skills required. Familiarity with financial data platforms (such as Bloomberg FactSet Aladdin eFront Moodys) financial databases and data manipulation techniques strongly preferred.
- Strong quantitative background required with hands-on experience applying statistical time-series and optimization techniques using Python libraries (e.g. SciPy Scikit-Learn cvxpy statsmodels) to portfolio construction and asset allocation problems.
- Deep understanding of investment management and portfolio composition strategies with knowledge across asset classes including fixed income public and private equity and private credit.
- Demonstrated experience applying quantitative methodologies (including optimization factor modeling risk decomposition and econometrics) to support portfolio construction asset allocation and investment decisions.
- Demonstrated ability to partner with business teams to convert AI-generated artifacts (e.g. prototypes proofs of concept) into production-ready applications.
- Experience bridging the gap between rapid AI-developed prototypes to quality full-stack applications is highly valued.
- Proven ability to design build and scale application systems in data-rich environments including custom AI tools.
- Master's or Ph.D. (or equivalent experience) in a quantitative or engineering field such as Computer Science Mathematics Statistics Econometrics Financial Engineering or a related discipline.
- Eight or more years of software engineering experience
Education
- A Bachelor's or Master's degree in a technical or business discipline or equivalent experience
About Us
Pay Philosophy: The typical starting salary range for this role is determined by 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
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco
USD $128000.00 - $225000.00
Skills Required
- Minimum 5 years professional experience programming in Python
- Strong SQL skills
- Experience with key Python Libraries (pandas NumPy)
- Experience in front-end development and UX design
- Experience developing applications for investment management firms
- Strong quantitative background with experience applying statistical techniques using Python
- Master's or Ph.D. in a quantitative or engineering field
- Eight or more years of software engineering experience
What the Team is Saying









What We Do
Liberty Mutual Insurance exists to help people embrace today and confidently pursue tomorrow. A Fortune 100 company and global leader in property and casualty insurance we’ve spent over a century creating innovative products services and technologies to meet the world’s ever-changing needs and make a difference for our customers and communities.
Why Work With Us
We offer the agility work flexibility project ownership and access to emerging tech you’d expect from a start-up — combined with the stability resources and benefits that come from working at a leading Fortune 100 company. All in a welcoming inclusive environment that values the unique insights perspectives and backgrounds of each person.
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Employees engage in a combination of remote and on-site work.
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Date Posted
05/28/2026
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